L3 Title

SERVICE FEATURES AND DELIVERY FRAMEWORK

Codec Networks delivers Threat Modelling through structured methodology, expert adversarial analysis, comprehensive

framework coverage, calibrated delivery metrics, and governance-grade documentation that serves engineers,

security architects, regulators, and certification auditors alike.

Structured threat modelling is now a foundational requirement for organisations building digital systems at scale. Embedding threat analysis during design, rather than post-deployment, helps create more secure systems, reduce maintenance costs, accelerate certification, and strengthen overall organisational security resilience.

Codec Networks' Threat Modelling service addresses the reality that most organisations understand security should be addressed in design but struggle to embed structured threat analysis into engineering workflows without the methodology, tooling, and expertise that genuine threat modelling requires.

Codec Networks structures the service to address both the technical depth required for genuine security improvement and the governance-grade documentation required for regulatory compliance, certification evidence, and enterprise security assurance programmes.

Codec Networks offers these services across the following segments:

1. Architecture Decomposition and Trust Boundary Analysis

Data Flow Diagram Construction: Comprehensive DFDs constructed or validated for the system under analysis — mapping all data inputs, outputs, storage locations, and processing components to provide the architectural foundation for threat identification.
Trust Boundary Identification: All security-relevant trust boundaries are explicitly identified and documented — including network perimeters, authentication boundaries, privilege transitions, and inter-service communication channels.
Component Inventory and Characterisation: Every system component with security relevance — applications, APIs, databases, cloud services, external integrations, and infrastructure elements — is inventoried and characterised for its security properties and attack surface contribution.
Entry Point and Attack Surface Mapping: All potential adversary entry points — public APIs, authentication interfaces, administrative functions, data import mechanisms, and third-party integration channels — are systematically enumerated.
Asset Classification: Data assets, processing functions, and infrastructure components are classified by confidentiality, integrity, and availability sensitivity — establishing the impact scale against which threats are rated.
Architectural Risk Documentation: Comprehensive documentation of architecture components and trust relationships providing the structured foundation for threat enumeration and control evaluation.

2. Threat Enumeration and Adversary Profiling

STRIDE Threat Analysis: Systematic application of the Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege framework across all identified data flows and trust boundaries.
MITRE ATT&CK Mapping: Relevant adversary techniques from MITRE ATT&CK are mapped to system components and attack surfaces — ensuring threat enumeration reflects current adversary capability rather than theoretical risk categories.
Attacker Profile Development: Realistic attacker profiles — external adversaries, insider threats, supply chain actors, automated scanners — are defined and applied to structure threat enumeration across the full adversary landscape.
Attack Tree Construction: Hierarchical attack trees are developed for high-priority threats — mapping the specific sequences of steps an adversary would follow to achieve each threat objective, enabling precise control placement.
Third-Party and Supply Chain Threat Analysis: Threats arising from third-party integrations, open-source dependencies, cloud service provider relationships, and partner data exchanges are explicitly enumerated and analysed.
Abuse Case Development: Functional misuse scenarios — legitimate-seeming actions that violate security intent — are developed to surface threats that conventional security analysis frameworks do not consistently capture.

3. Control Evaluation and Gap Analysis

Existing Control Inventory: All current security controls — authentication mechanisms, authorisation frameworks, encryption implementations, input validation, logging, and monitoring — are inventoried and mapped to the threats they are intended to address.
Control Adequacy Assessment: Each control is evaluated for adequacy against the specific threats it is mapped to — distinguishing between controls that genuinely reduce threat likelihood or impact and controls that provide partial or theoretical protection.
Control Gap Identification: Threats with no current control, inadequate current controls, or controls whose effectiveness has not been validated are explicitly identified — providing the prioritised gap list that security requirements address.
Defence-in-Depth Evaluation: The layering of controls across attack paths is assessed — identifying where single-control reliance creates structural vulnerability and where defence-in-depth principles are violated.
Authentication and Authorisation Review: Authentication mechanisms, session management, authorisation frameworks, and privilege models are assessed against the specific threats and attacker capabilities identified in threat enumeration.
Cryptographic Control Review: Encryption implementations, key management practices, certificate configurations, and protocol selections are assessed against identified threats to data confidentiality and integrity.

4. Security Requirements Generation

Threat-Grounded Requirements: Security requirements are derived directly from identified threats — each requirement traces to the specific threat it addresses, the component it applies to, and the control category it belongs to.
Backlog-Ready Formatting: Requirements are formatted for direct integration into development backlogs — with sufficient technical precision for engineering implementation and sufficient context for product owner prioritisation.
Priority and Effort Estimation: Requirements are prioritised by the risk reduction they deliver relative to implementation effort — enabling engineering teams to sequence security work rationally within sprint and release planning.
Acceptance Criteria Definition: Where possible, acceptance criteria are defined for security requirements — specifying what testable evidence would demonstrate that the requirement has been implemented effectively.
Framework Cross-Reference: Requirements are cross-referenced to applicable security frameworks — OWASP ASVS, NIST SP 800-53, PCI DSS controls — enabling compliance tracking alongside security improvement tracking.
Architecture-Level Recommendations: Strategic architectural recommendations addressing structural security weaknesses — design patterns, component separations, trust model revisions — that cannot be addressed through implementation requirements alone.

5. Privacy and Data Protection Threat Analysis

Personal Data Flow Analysis: Data flows carrying personal data are traced through the system architecture — identifying where PII is collected, processed, stored, transmitted, and exposed to internal and external principals.
Privacy Threat Enumeration: Threats to data subject rights — unlawful access, improper retention, unauthorised processing, cross-border transfer without adequate safeguards — are explicitly identified and risk-rated.
GDPR and In-country regulatory norms and guidelines Alignment: Privacy threats and control gaps are mapped to GDPR Article 25 data protection by design requirements and applicable In-country regulatory norms and guidelines obligations — producing DPIA-compatible threat documentation.
Consent and Purpose Limitation Analysis: Data flows are assessed against consent frameworks and purpose limitation requirements — identifying where processing activities create regulatory risk through scope creep or inadequate consent architecture.
Data Minimisation Assessment: Architecture components are assessed for data minimisation compliance — identifying where more data is collected, retained, or processed than purpose requirements justify.
Privacy Engineering Recommendations: Specific privacy-by-design architectural recommendations addressing identified privacy threats — data flow restructuring, anonymisation approaches, consent mechanism improvements.

6. Threat Modelling Governance and Methodology Integration

Threat Modelling Process Design: Design of a repeatable, scalable threat modelling process appropriate for the organisation's development methodology — sprint-integrated, feature-gated, or release-cycle-based.
Tooling Assessment and Recommendation: Evaluation and recommendation of threat modelling tooling — Microsoft Threat Modelling Tool, OWASP Threat Dragon, IriusRisk, or custom approaches — appropriate for the organisation's scale and workflow.
Security Champion Enablement: Training and capability development for security champions and senior engineers to conduct first-pass threat modelling on features and components before formal engagement review.
Threat Modelling Template Development: Reusable templates for common system patterns — API integrations, authentication services, data processing pipelines — that accelerate threat modelling of similar components.
Integration with Security Testing Programme: Threat model outputs connected to penetration testing scopes, security code review focus areas, and SAST/DAST configuration — ensuring testing resources are directed at the highest-priority threats.
Executive Threat Reporting Framework: Board and senior management reporting templates translating threat model findings into governance language — strategic risk implications, investment prioritisation, and security programme maturity indicators.

Codec Networks' Threat Modelling service follows a structured, evidence-driven engagement model that progresses from scoping and architecture analysis through threat enumeration, control evaluation, and validated findings to security requirements and governance-grade documentation. Each phase builds on the last, and each produces outputs that serve immediate security value while contributing to the cumulative programme outcome.

The methodology integrates STRIDE, PASTA, MITRE ATT&CK, OWASP Threat Modelling Manifesto, LINDDUN for privacy threats, and OCTAVE for organisational risk within a delivery framework calibrated to the client's system architecture, threat environment, regulatory context, and development maturity — ensuring that every engagement produces findings relevant to the specific system and organisation rather than generic security observations.

Codec Network's overall Service Delivery methodology comprises of:

1. Project Initiation and Scoping

Scope Definition Workshop: Codec Networks engages client stakeholders — solution architects, security engineers, product managers, and compliance leads — to establish the precise scope, objectives, system boundary, and threat modelling depth required for the engagement.
System Context Establishment: The system under analysis is characterised — its business purpose, user populations, data classifications, external dependencies, deployment environment, and regulatory obligations — providing the context that adversary profiling and threat enumeration require.
Threat Modelling Approach Selection: The appropriate methodology combination — STRIDE for application components, MITRE ATT&CK for infrastructure, LINDDUN for privacy — is confirmed based on system type, threat environment, and compliance requirements.
Engagement Charter and SoW: A signed Statement of Work documents scope, methodology, deliverables, timelines, stakeholder responsibilities, and the system access and documentation required from the client.

2. Pre-Engagement Preparation

Documentation Collection: Existing architecture documentation — system diagrams, API specifications, data flow documentation, infrastructure maps, existing security requirements, and prior security assessment findings — is collected and reviewed.
Stakeholder Interview Schedule: A structured interview programme covering solution architects, development leads, operations engineers, data owners, and compliance representatives is designed to ensure threat modelling captures institutional knowledge unavailable in documentation.
Threat Modelling Criteria Calibration: Threat rating scales — likelihood, impact, and risk — are calibrated to the client's specific threat environment, asset sensitivity, and tolerance for security risk, ensuring findings carry operationally meaningful significance.

3. Architecture Analysis and Documentation

Architecture Walkthrough: Structured sessions with solution architects and engineering leads to review and validate the system architecture — identifying components, integrations, data flows, and trust boundaries that require explicit threat analysis.
DFD Construction and Validation: Data flow diagrams are constructed or validated at appropriate levels of detail — Level 0 context diagrams, Level 1 system diagrams, and Level 2 component diagrams — providing the structured foundation for STRIDE analysis.
Threat Surface Inventory: All system components, entry points, external integrations, data stores, and inter-service communication channels contributing to the attack surface are formally inventoried.

4. Threat Identification and Enumeration

STRIDE Analysis: Systematic STRIDE threat identification applied across all DFD elements — processes, data flows, data stores, and external entities — ensuring comprehensive coverage across threat categories.
MITRE ATT&CK Scenario Mapping: High-priority attack scenarios mapped against relevant ATT&CK techniques — providing specific, evidence-based threat characterisation grounded in documented adversary behaviour.
Abuse Case and Misuse Case Development: Functional misuse scenarios are developed for business logic components — identifying threats that technical security frameworks do not consistently surface.
Privacy Threat Analysis: LINDDUN methodology applied to personal data flows — identifying threats to data subject rights, regulatory obligations, and privacy engineering requirements.

5. Control Evaluation and Gap Analysis

Control Mapping: Existing security controls are mapped to identified threats — documenting the control landscape and establishing where threats are currently addressed, partially addressed, or entirely unmitigated.
Control Adequacy Testing: Where feasible within engagement scope, control implementations are reviewed for adequacy — distinguishing between controls that genuinely reduce identified threats and controls that provide theoretical protection only.
Residual Threat Assessment: Residual threats — those remaining after existing control credit is applied — are identified, characterised, and rated to produce the gap list that security requirements will address.
False Assurance Identification: Controls that appear adequate in policy but whose actual effectiveness is insufficient for the threats they are mapped to are explicitly identified — preventing overreliance on inadequate security measures.

6. Risk Rating and Prioritisation

Threat Rating: Each identified threat is rated using agreed likelihood and impact scales — calibrated to the specific system context, attacker capability, and asset sensitivity — producing a risk-rated threat register.
Business Impact Mapping: Technical threat consequences are translated into business impact terms — data breach consequence, regulatory exposure, operational disruption, reputational damage — enabling governance-level risk communication.
Prioritisation for Remediation: Threats and associated security requirements are sequenced by the risk reduction they deliver per unit of engineering effort — enabling rational security investment allocation within development programme constraints.

7. Reporting and Documentation

Executive Threat Summary: A concise, non-technical presentation of the overall threat profile, critical findings, priority security requirements, and strategic security architecture recommendations — structured for board and senior management audiences.
Technical Threat Model Report: Comprehensive documentation of the threat model — architecture decomposition, trust boundary map, complete threat register with ratings, control evaluation findings, and security requirements — structured for engineering and security architecture audiences.
Security Requirements Backlog: All security requirements presented as a prioritised, backlog-ready artefact with threat traceability, implementation guidance, acceptance criteria, and framework cross-references.
Compliance Mapping Matrix: Structured mapping of threat findings and security requirements to applicable compliance framework obligations — PCI DSS, ISO 27001, NIST, GDPR — formatted for direct use in compliance evidence packages.

8. Requirements Walkthrough and Engineering Handoff

Threat Model Walkthrough: Structured review session with development teams, security champions, and architecture leads presenting all findings, security requirements, and architectural recommendations — building the shared understanding that effective security implementation requires.
Security Requirement Clarification: Interactive session with engineering teams to clarify security requirements, discuss implementation approaches, and resolve questions that would otherwise delay or compromise implementation.
Backlog Integration Support: Advisory support for integrating security requirements into development backlog management — including priority discussion, dependency identification, and sprint allocation guidance.
Architecture Recommendation Review: Discussion of strategic architecture recommendations with solution architects and engineering leadership — supporting informed decisions about structural security improvements.

9. Continuous Threat Modelling Integration (Optional – Advanced Clients)

Threat Modelling Process Embedding: Structured threat modelling process integrated into the client's development lifecycle — defining when threat modelling is required, how it is conducted, and how outputs are tracked to closure.
Recurring Assessment Programme: Scheduled threat model review cycles aligned to major feature releases, architectural changes, and security posture reassessment needs — maintaining current threat analysis as systems evolve.
Threat Intelligence Integration: Threat model scope and adversary profiles updated with current threat intelligence — ensuring threat analysis reflects current adversary capability rather than the threat landscape at initial assessment.
Red Team Alignment (Optional): Threat model findings used to scope and prioritise red team and adversary simulation exercises — ensuring adversarial testing addresses the threats identified as most significant to the specific system.

10. Closure and Governance Handover

Engagement Closure Review: Formal project completion meeting with all stakeholders covering findings acceptance, security requirements launch, open items, and governance recommendations — establishing the ongoing threat modelling programme on a clear foundation.
Threat Model Artefact Handover: Complete threat model documentation package — DFDs, threat register, control evaluation, security requirements, compliance mappings — delivered in formats suitable for design documentation repositories, governance registers, and compliance evidence packages.
Long-Term Advisory Partnership: Continuation options including recurring threat model reviews, security architecture advisory, and ongoing threat intelligence briefings as the client's system portfolio evolves.

Standard / Framework	Scope & Applicability	How It Is Applied in Service Delivery	Client Value Delivered
STRIDE Methodology	Microsoft-developed systematic threat identification framework categorising threats as Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.	Applied systematically across all data flow diagram elements — processes, data flows, data stores, and external entities — as the primary threat enumeration framework.	Provides structured, comprehensive coverage of threat categories ensuring no class of threat is overlooked during application and system threat analysis.
MITRE ATT&CK Framework	Globally recognised knowledge base of adversary tactics, techniques, and procedures based on real-world observations across enterprise, cloud, and industrial control system environments.	ATT&CK techniques mapped to system components and attack surfaces — providing specific, evidence-based threat characterisation grounded in documented adversary behaviour rather than theoretical risk.	Ensures threat enumeration reflects current, real-world adversary capability — making threat models more accurate and security requirements more precisely targeted at genuine attack techniques.
PASTA (Process for Attack Simulation and Threat Analysis)	Seven-stage risk-centric threat modelling methodology aligning technical threat analysis with business objectives, risk appetite, and regulatory context.	PASTA stages used to frame threat analysis within the client's business context — connecting architectural threats to business risk impact and enabling threat-driven security investment prioritisation.	Aligns technical threat findings with business risk language — enabling governance stakeholders to engage with threat model outputs and make informed security investment decisions.
OWASP Threat Modelling Manifesto and ASVS	OWASP's guidance on threat modelling principles and the Application Security Verification Standard providing testable security requirements for application components.	OWASP threat modelling principles guide engagement approach and quality standards; ASVS requirements cross-referenced in security requirement generation to provide testable implementation targets.	Anchors application-layer threat modelling in the most widely recognised application security framework — producing requirements that development teams recognise and can implement against standard verification criteria.
LINDDUN Privacy Threat Framework	Structured privacy threat modelling methodology addressing threats to data subject rights including Linkability, Identifiability, Non-repudiation, Detectability, Disclosure, Unawareness, and Non-compliance.	Applied to personal data flows and privacy-sensitive system components — providing systematic privacy threat identification complementing technical security threat analysis.	Ensures privacy threats receive the same structured analytical rigour as security threats — producing GDPR-compatible DPIA documentation and privacy engineering requirements from the same engagement.
NIST SP 800-30 / RMF	U.S. NIST risk assessment guidance and Risk Management Framework providing structured processes for threat identification, vulnerability analysis, and risk determination.	NIST risk assessment process used to structure threat rating, control evaluation, and residual risk determination — providing a familiar framework for organisations operating under federal or NIST-aligned governance.	Aligns threat modelling outputs with NIST RMF risk assessment requirements — supporting compliance for organisations operating under federal frameworks or adopting NIST as their security governance baseline.
ISO/IEC 27005:2022	International standard for information security risk management providing detailed guidance on risk identification, analysis, evaluation, and treatment.	ISO 27005 risk assessment process applied to threat-based risk determination — ensuring threat model outputs are compatible with ISMS risk register requirements and ISO 27001 certification audit expectations.	Produces threat model documentation structured for ISO 27001 Annex A compliance evidence — reducing the additional documentation burden for organisations pursuing or maintaining ISO 27001 certification.
PCI DSS v4.0 Threat Modelling Requirements	Payment Card Industry Data Security Standard version 4.0 requirements explicitly mandating threat modelling for organisations building or significantly modifying systems handling cardholder data.	PCI DSS Requirement 6.3.2 threat modelling obligations addressed through structured engagement outputs — producing the threat model documentation that QSAs expect to find in compliance assessments.	Directly satisfies PCI DSS v4.0 threat modelling requirements — providing the compliance evidence that payment-handling organisations need for QSA assessment and ongoing PCI compliance maintenance.
IEC 62443 Security by Design	Industrial cybersecurity standard addressing security design requirements for operational technology and industrial control system environments.	IEC 62443 security by design requirements applied where OT and ICS components are in scope — ensuring threat analysis addresses the safety, availability, and integrity consequences specific to operational technology environments.	Ensures threat modelling addresses the distinct risk profile of OT environments — including safety consequence analysis and availability requirements that standard application security frameworks do not consistently address.
GDPR Article 25 / In-country regulatory norms and guidelines	Data protection by design and by default requirements under GDPR and India's Digital Personal Data Protection Act imposing obligations for privacy-conscious architectural design.	Privacy threat analysis and data protection by design requirements integrated into scope for any system processing personal data — with outputs structured to serve as DPIA-compatible documentation.	Demonstrates compliance with data protection by design obligations and provides documented evidence of privacy-conscious architectural analysis for supervisory authority examination and certification audit.

Please Note:

Codec Networks' Threat Modelling methodology integrates internationally recognised threat analysis, risk management, and security architecture frameworks into a coherent delivery approach — not as parallel compliance checklists, but as complementary analytical lenses applied to the same underlying system architecture.
Threat enumeration frameworks are applied in combination calibrated to the system type, deployment environment, and threat landscape — STRIDE for application logic, ATT&CK for adversary behaviour, LINDDUN for privacy — ensuring comprehensive coverage without methodological redundancy.
Risk rating is applied with attention to the specific system context and organisation's risk tolerance — avoiding the generic severity inflation that produces unactionable findings and the generic risk acceptance that understates genuine architectural exposure.
Framework mapping is applied to serve compliance evidence purposes without allowing compliance orientation to limit the scope or depth of threat identification — security outcomes take precedence over documentation completeness.
Governance structures established during the engagement are designed for sustainability — enabling the client to conduct and manage threat modelling as an ongoing engineering practice rather than a periodic external engagement.
Total liability for all services is strictly limited to the international standards as far as possible as agreed in contracted engagement value. Codec Networks expressly excludes any indirect, financial, operational, incidental, punitive, or consequential damages, which may arise due to any coincidental events, or changes in international standards guidelines time to time.

SERVICE FEATURES

Codec Networks offers these services across the following segments:

1. Architecture Decomposition and Trust Boundary Analysis

Data Flow Diagram Construction: Comprehensive DFDs constructed or validated for the system under analysis — mapping all data inputs, outputs, storage locations, and processing components to provide the architectural foundation for threat identification.
Trust Boundary Identification: All security-relevant trust boundaries are explicitly identified and documented — including network perimeters, authentication boundaries, privilege transitions, and inter-service communication channels.
Component Inventory and Characterisation: Every system component with security relevance — applications, APIs, databases, cloud services, external integrations, and infrastructure elements — is inventoried and characterised for its security properties and attack surface contribution.
Entry Point and Attack Surface Mapping: All potential adversary entry points — public APIs, authentication interfaces, administrative functions, data import mechanisms, and third-party integration channels — are systematically enumerated.
Asset Classification: Data assets, processing functions, and infrastructure components are classified by confidentiality, integrity, and availability sensitivity — establishing the impact scale against which threats are rated.
Architectural Risk Documentation: Comprehensive documentation of architecture components and trust relationships providing the structured foundation for threat enumeration and control evaluation.

2. Threat Enumeration and Adversary Profiling

STRIDE Threat Analysis: Systematic application of the Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege framework across all identified data flows and trust boundaries.
MITRE ATT&CK Mapping: Relevant adversary techniques from MITRE ATT&CK are mapped to system components and attack surfaces — ensuring threat enumeration reflects current adversary capability rather than theoretical risk categories.
Attacker Profile Development: Realistic attacker profiles — external adversaries, insider threats, supply chain actors, automated scanners — are defined and applied to structure threat enumeration across the full adversary landscape.
Attack Tree Construction: Hierarchical attack trees are developed for high-priority threats — mapping the specific sequences of steps an adversary would follow to achieve each threat objective, enabling precise control placement.
Third-Party and Supply Chain Threat Analysis: Threats arising from third-party integrations, open-source dependencies, cloud service provider relationships, and partner data exchanges are explicitly enumerated and analysed.
Abuse Case Development: Functional misuse scenarios — legitimate-seeming actions that violate security intent — are developed to surface threats that conventional security analysis frameworks do not consistently capture.

3. Control Evaluation and Gap Analysis

Existing Control Inventory: All current security controls — authentication mechanisms, authorisation frameworks, encryption implementations, input validation, logging, and monitoring — are inventoried and mapped to the threats they are intended to address.
Control Adequacy Assessment: Each control is evaluated for adequacy against the specific threats it is mapped to — distinguishing between controls that genuinely reduce threat likelihood or impact and controls that provide partial or theoretical protection.
Control Gap Identification: Threats with no current control, inadequate current controls, or controls whose effectiveness has not been validated are explicitly identified — providing the prioritised gap list that security requirements address.
Defence-in-Depth Evaluation: The layering of controls across attack paths is assessed — identifying where single-control reliance creates structural vulnerability and where defence-in-depth principles are violated.
Authentication and Authorisation Review: Authentication mechanisms, session management, authorisation frameworks, and privilege models are assessed against the specific threats and attacker capabilities identified in threat enumeration.
Cryptographic Control Review: Encryption implementations, key management practices, certificate configurations, and protocol selections are assessed against identified threats to data confidentiality and integrity.

4. Security Requirements Generation

Threat-Grounded Requirements: Security requirements are derived directly from identified threats — each requirement traces to the specific threat it addresses, the component it applies to, and the control category it belongs to.
Backlog-Ready Formatting: Requirements are formatted for direct integration into development backlogs — with sufficient technical precision for engineering implementation and sufficient context for product owner prioritisation.
Priority and Effort Estimation: Requirements are prioritised by the risk reduction they deliver relative to implementation effort — enabling engineering teams to sequence security work rationally within sprint and release planning.
Acceptance Criteria Definition: Where possible, acceptance criteria are defined for security requirements — specifying what testable evidence would demonstrate that the requirement has been implemented effectively.
Framework Cross-Reference: Requirements are cross-referenced to applicable security frameworks — OWASP ASVS, NIST SP 800-53, PCI DSS controls — enabling compliance tracking alongside security improvement tracking.
Architecture-Level Recommendations: Strategic architectural recommendations addressing structural security weaknesses — design patterns, component separations, trust model revisions — that cannot be addressed through implementation requirements alone.

5. Privacy and Data Protection Threat Analysis

Personal Data Flow Analysis: Data flows carrying personal data are traced through the system architecture — identifying where PII is collected, processed, stored, transmitted, and exposed to internal and external principals.
Privacy Threat Enumeration: Threats to data subject rights — unlawful access, improper retention, unauthorised processing, cross-border transfer without adequate safeguards — are explicitly identified and risk-rated.
GDPR and In-country regulatory norms and guidelines Alignment: Privacy threats and control gaps are mapped to GDPR Article 25 data protection by design requirements and applicable In-country regulatory norms and guidelines obligations — producing DPIA-compatible threat documentation.
Consent and Purpose Limitation Analysis: Data flows are assessed against consent frameworks and purpose limitation requirements — identifying where processing activities create regulatory risk through scope creep or inadequate consent architecture.
Data Minimisation Assessment: Architecture components are assessed for data minimisation compliance — identifying where more data is collected, retained, or processed than purpose requirements justify.
Privacy Engineering Recommendations: Specific privacy-by-design architectural recommendations addressing identified privacy threats — data flow restructuring, anonymisation approaches, consent mechanism improvements.

6. Threat Modelling Governance and Methodology Integration

Threat Modelling Process Design: Design of a repeatable, scalable threat modelling process appropriate for the organisation's development methodology — sprint-integrated, feature-gated, or release-cycle-based.
Tooling Assessment and Recommendation: Evaluation and recommendation of threat modelling tooling — Microsoft Threat Modelling Tool, OWASP Threat Dragon, IriusRisk, or custom approaches — appropriate for the organisation's scale and workflow.
Security Champion Enablement: Training and capability development for security champions and senior engineers to conduct first-pass threat modelling on features and components before formal engagement review.
Threat Modelling Template Development: Reusable templates for common system patterns — API integrations, authentication services, data processing pipelines — that accelerate threat modelling of similar components.
Integration with Security Testing Programme: Threat model outputs connected to penetration testing scopes, security code review focus areas, and SAST/DAST configuration — ensuring testing resources are directed at the highest-priority threats.
Executive Threat Reporting Framework: Board and senior management reporting templates translating threat model findings into governance language — strategic risk implications, investment prioritisation, and security programme maturity indicators.

SERVICE DELIVERY METHODOLOGY

Codec Network's overall Service Delivery methodology comprises of:

1. Project Initiation and Scoping

Scope Definition Workshop: Codec Networks engages client stakeholders — solution architects, security engineers, product managers, and compliance leads — to establish the precise scope, objectives, system boundary, and threat modelling depth required for the engagement.
System Context Establishment: The system under analysis is characterised — its business purpose, user populations, data classifications, external dependencies, deployment environment, and regulatory obligations — providing the context that adversary profiling and threat enumeration require.
Threat Modelling Approach Selection: The appropriate methodology combination — STRIDE for application components, MITRE ATT&CK for infrastructure, LINDDUN for privacy — is confirmed based on system type, threat environment, and compliance requirements.
Engagement Charter and SoW: A signed Statement of Work documents scope, methodology, deliverables, timelines, stakeholder responsibilities, and the system access and documentation required from the client.

2. Pre-Engagement Preparation

Documentation Collection: Existing architecture documentation — system diagrams, API specifications, data flow documentation, infrastructure maps, existing security requirements, and prior security assessment findings — is collected and reviewed.
Stakeholder Interview Schedule: A structured interview programme covering solution architects, development leads, operations engineers, data owners, and compliance representatives is designed to ensure threat modelling captures institutional knowledge unavailable in documentation.
Threat Modelling Criteria Calibration: Threat rating scales — likelihood, impact, and risk — are calibrated to the client's specific threat environment, asset sensitivity, and tolerance for security risk, ensuring findings carry operationally meaningful significance.

3. Architecture Analysis and Documentation

Architecture Walkthrough: Structured sessions with solution architects and engineering leads to review and validate the system architecture — identifying components, integrations, data flows, and trust boundaries that require explicit threat analysis.
DFD Construction and Validation: Data flow diagrams are constructed or validated at appropriate levels of detail — Level 0 context diagrams, Level 1 system diagrams, and Level 2 component diagrams — providing the structured foundation for STRIDE analysis.
Threat Surface Inventory: All system components, entry points, external integrations, data stores, and inter-service communication channels contributing to the attack surface are formally inventoried.

4. Threat Identification and Enumeration

STRIDE Analysis: Systematic STRIDE threat identification applied across all DFD elements — processes, data flows, data stores, and external entities — ensuring comprehensive coverage across threat categories.
MITRE ATT&CK Scenario Mapping: High-priority attack scenarios mapped against relevant ATT&CK techniques — providing specific, evidence-based threat characterisation grounded in documented adversary behaviour.
Abuse Case and Misuse Case Development: Functional misuse scenarios are developed for business logic components — identifying threats that technical security frameworks do not consistently surface.
Privacy Threat Analysis: LINDDUN methodology applied to personal data flows — identifying threats to data subject rights, regulatory obligations, and privacy engineering requirements.

5. Control Evaluation and Gap Analysis

Control Mapping: Existing security controls are mapped to identified threats — documenting the control landscape and establishing where threats are currently addressed, partially addressed, or entirely unmitigated.
Control Adequacy Testing: Where feasible within engagement scope, control implementations are reviewed for adequacy — distinguishing between controls that genuinely reduce identified threats and controls that provide theoretical protection only.
Residual Threat Assessment: Residual threats — those remaining after existing control credit is applied — are identified, characterised, and rated to produce the gap list that security requirements will address.
False Assurance Identification: Controls that appear adequate in policy but whose actual effectiveness is insufficient for the threats they are mapped to are explicitly identified — preventing overreliance on inadequate security measures.

6. Risk Rating and Prioritisation

Threat Rating: Each identified threat is rated using agreed likelihood and impact scales — calibrated to the specific system context, attacker capability, and asset sensitivity — producing a risk-rated threat register.
Business Impact Mapping: Technical threat consequences are translated into business impact terms — data breach consequence, regulatory exposure, operational disruption, reputational damage — enabling governance-level risk communication.
Prioritisation for Remediation: Threats and associated security requirements are sequenced by the risk reduction they deliver per unit of engineering effort — enabling rational security investment allocation within development programme constraints.

7. Reporting and Documentation

Executive Threat Summary: A concise, non-technical presentation of the overall threat profile, critical findings, priority security requirements, and strategic security architecture recommendations — structured for board and senior management audiences.
Technical Threat Model Report: Comprehensive documentation of the threat model — architecture decomposition, trust boundary map, complete threat register with ratings, control evaluation findings, and security requirements — structured for engineering and security architecture audiences.
Security Requirements Backlog: All security requirements presented as a prioritised, backlog-ready artefact with threat traceability, implementation guidance, acceptance criteria, and framework cross-references.
Compliance Mapping Matrix: Structured mapping of threat findings and security requirements to applicable compliance framework obligations — PCI DSS, ISO 27001, NIST, GDPR — formatted for direct use in compliance evidence packages.

8. Requirements Walkthrough and Engineering Handoff

Threat Model Walkthrough: Structured review session with development teams, security champions, and architecture leads presenting all findings, security requirements, and architectural recommendations — building the shared understanding that effective security implementation requires.
Security Requirement Clarification: Interactive session with engineering teams to clarify security requirements, discuss implementation approaches, and resolve questions that would otherwise delay or compromise implementation.
Backlog Integration Support: Advisory support for integrating security requirements into development backlog management — including priority discussion, dependency identification, and sprint allocation guidance.
Architecture Recommendation Review: Discussion of strategic architecture recommendations with solution architects and engineering leadership — supporting informed decisions about structural security improvements.

9. Continuous Threat Modelling Integration (Optional – Advanced Clients)

Threat Modelling Process Embedding: Structured threat modelling process integrated into the client's development lifecycle — defining when threat modelling is required, how it is conducted, and how outputs are tracked to closure.
Recurring Assessment Programme: Scheduled threat model review cycles aligned to major feature releases, architectural changes, and security posture reassessment needs — maintaining current threat analysis as systems evolve.
Threat Intelligence Integration: Threat model scope and adversary profiles updated with current threat intelligence — ensuring threat analysis reflects current adversary capability rather than the threat landscape at initial assessment.
Red Team Alignment (Optional): Threat model findings used to scope and prioritise red team and adversary simulation exercises — ensuring adversarial testing addresses the threats identified as most significant to the specific system.

10. Closure and Governance Handover

Engagement Closure Review: Formal project completion meeting with all stakeholders covering findings acceptance, security requirements launch, open items, and governance recommendations — establishing the ongoing threat modelling programme on a clear foundation.
Threat Model Artefact Handover: Complete threat model documentation package — DFDs, threat register, control evaluation, security requirements, compliance mappings — delivered in formats suitable for design documentation repositories, governance registers, and compliance evidence packages.
Long-Term Advisory Partnership: Continuation options including recurring threat model reviews, security architecture advisory, and ongoing threat intelligence briefings as the client's system portfolio evolves.

SERVICE STANDARDS

Standard / Framework	Scope & Applicability	How It Is Applied in Service Delivery	Client Value Delivered
STRIDE Methodology	Microsoft-developed systematic threat identification framework categorising threats as Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege.	Applied systematically across all data flow diagram elements — processes, data flows, data stores, and external entities — as the primary threat enumeration framework.	Provides structured, comprehensive coverage of threat categories ensuring no class of threat is overlooked during application and system threat analysis.
MITRE ATT&CK Framework	Globally recognised knowledge base of adversary tactics, techniques, and procedures based on real-world observations across enterprise, cloud, and industrial control system environments.	ATT&CK techniques mapped to system components and attack surfaces — providing specific, evidence-based threat characterisation grounded in documented adversary behaviour rather than theoretical risk.	Ensures threat enumeration reflects current, real-world adversary capability — making threat models more accurate and security requirements more precisely targeted at genuine attack techniques.
PASTA (Process for Attack Simulation and Threat Analysis)	Seven-stage risk-centric threat modelling methodology aligning technical threat analysis with business objectives, risk appetite, and regulatory context.	PASTA stages used to frame threat analysis within the client's business context — connecting architectural threats to business risk impact and enabling threat-driven security investment prioritisation.	Aligns technical threat findings with business risk language — enabling governance stakeholders to engage with threat model outputs and make informed security investment decisions.
OWASP Threat Modelling Manifesto and ASVS	OWASP's guidance on threat modelling principles and the Application Security Verification Standard providing testable security requirements for application components.	OWASP threat modelling principles guide engagement approach and quality standards; ASVS requirements cross-referenced in security requirement generation to provide testable implementation targets.	Anchors application-layer threat modelling in the most widely recognised application security framework — producing requirements that development teams recognise and can implement against standard verification criteria.
LINDDUN Privacy Threat Framework	Structured privacy threat modelling methodology addressing threats to data subject rights including Linkability, Identifiability, Non-repudiation, Detectability, Disclosure, Unawareness, and Non-compliance.	Applied to personal data flows and privacy-sensitive system components — providing systematic privacy threat identification complementing technical security threat analysis.	Ensures privacy threats receive the same structured analytical rigour as security threats — producing GDPR-compatible DPIA documentation and privacy engineering requirements from the same engagement.
NIST SP 800-30 / RMF	U.S. NIST risk assessment guidance and Risk Management Framework providing structured processes for threat identification, vulnerability analysis, and risk determination.	NIST risk assessment process used to structure threat rating, control evaluation, and residual risk determination — providing a familiar framework for organisations operating under federal or NIST-aligned governance.	Aligns threat modelling outputs with NIST RMF risk assessment requirements — supporting compliance for organisations operating under federal frameworks or adopting NIST as their security governance baseline.
ISO/IEC 27005:2022	International standard for information security risk management providing detailed guidance on risk identification, analysis, evaluation, and treatment.	ISO 27005 risk assessment process applied to threat-based risk determination — ensuring threat model outputs are compatible with ISMS risk register requirements and ISO 27001 certification audit expectations.	Produces threat model documentation structured for ISO 27001 Annex A compliance evidence — reducing the additional documentation burden for organisations pursuing or maintaining ISO 27001 certification.
PCI DSS v4.0 Threat Modelling Requirements	Payment Card Industry Data Security Standard version 4.0 requirements explicitly mandating threat modelling for organisations building or significantly modifying systems handling cardholder data.	PCI DSS Requirement 6.3.2 threat modelling obligations addressed through structured engagement outputs — producing the threat model documentation that QSAs expect to find in compliance assessments.	Directly satisfies PCI DSS v4.0 threat modelling requirements — providing the compliance evidence that payment-handling organisations need for QSA assessment and ongoing PCI compliance maintenance.
IEC 62443 Security by Design	Industrial cybersecurity standard addressing security design requirements for operational technology and industrial control system environments.	IEC 62443 security by design requirements applied where OT and ICS components are in scope — ensuring threat analysis addresses the safety, availability, and integrity consequences specific to operational technology environments.	Ensures threat modelling addresses the distinct risk profile of OT environments — including safety consequence analysis and availability requirements that standard application security frameworks do not consistently address.
GDPR Article 25 / In-country regulatory norms and guidelines	Data protection by design and by default requirements under GDPR and India's Digital Personal Data Protection Act imposing obligations for privacy-conscious architectural design.	Privacy threat analysis and data protection by design requirements integrated into scope for any system processing personal data — with outputs structured to serve as DPIA-compatible documentation.	Demonstrates compliance with data protection by design obligations and provides documented evidence of privacy-conscious architectural analysis for supervisory authority examination and certification audit.

Please Note:

Codec Networks' Threat Modelling methodology integrates internationally recognised threat analysis, risk management, and security architecture frameworks into a coherent delivery approach — not as parallel compliance checklists, but as complementary analytical lenses applied to the same underlying system architecture.
Threat enumeration frameworks are applied in combination calibrated to the system type, deployment environment, and threat landscape — STRIDE for application logic, ATT&CK for adversary behaviour, LINDDUN for privacy — ensuring comprehensive coverage without methodological redundancy.
Risk rating is applied with attention to the specific system context and organisation's risk tolerance — avoiding the generic severity inflation that produces unactionable findings and the generic risk acceptance that understates genuine architectural exposure.
Framework mapping is applied to serve compliance evidence purposes without allowing compliance orientation to limit the scope or depth of threat identification — security outcomes take precedence over documentation completeness.
Governance structures established during the engagement are designed for sustainability — enabling the client to conduct and manage threat modelling as an ongoing engineering practice rather than a periodic external engagement.
Total liability for all services is strictly limited to the international standards as far as possible as agreed in contracted engagement value. Codec Networks expressly excludes any indirect, financial, operational, incidental, punitive, or consequential damages, which may arise due to any coincidental events, or changes in international standards guidelines time to time.

THREAT MODELLING - CODEC NETWORK’S INDUSTRY OFFERINGS

Codec Networks' Threat Modelling packages are structured to match organisational security maturity — from establishing a

credible threat model baseline to delivering enterprise-scale continuous threat analysis across complex,

multi-system environments.

Foundation Tier

Target Clients
Startups, early-stage technology companies, and organisations beginning to formalise their security practices — particularly those building their first commercial product, preparing for ISO 27001 certification, or responding to initial enterprise customer security questionnaires.

Sub-Services in Scope

Foundational Architecture Decomposition
STRIDE Threat Identification (Core Components)
Critical Threat Prioritisation
Control Gap Summary
Basic Compliance Mapping
Security Requirements Package

Objective
Identify the most significant architectural threats against the system under analysis, produce a documented threat register, and generate prioritised security requirements sufficient to address the highest-priority gaps — giving the organisation a structured threat analysis foundation to build on.

Value Delivered
A credible, structured threat model artefact that demonstrates security design consideration — suitable for investor due diligence, enterprise customer security reviews, and ISO 27001 audit evidence — delivered efficiently for organisations at the beginning of their secure development journey.

Enhanced Protection Tier

Target Clients
Growing organisations, regulated-sector technology providers, and engineering teams that have some security practices in place but need to apply structured threat analysis to production systems or major new architectural components — particularly those facing PCI DSS v4.0 compliance, ISO 27001 certification audit, or significant enterprise customer security assessment.

Sub-Services in Scope

Full System Architecture Decomposition
Comprehensive STRIDE and ATT&CK Analysis
Control Adequacy Evaluation and Gap Analysis
Privacy Threat Analysis (LINDDUN)
Multi-Framework Compliance Mapping
Engineering Handoff Workshop and Backlog Integration

Objective
Deliver a comprehensive, methodology-compliant threat model covering all material system components with validated threat identification, thorough control evaluation, and a complete security requirements package that satisfies the requirements of regulators, certification bodies, and enterprise customers simultaneously.

Value Delivered
A materially improved security architecture foundation with validated threat findings, credible risk ratings, multi-framework compliance evidence, and an engineering-integrated requirements package that the development programme can act on immediately.

Enterprise Resilience Tier

Target Clients
Large enterprises, financial institutions, regulated entities, SaaS providers, and complex organisations requiring enterprise-scale threat modelling across multiple systems, continuous programme integration, supply chain threat analysis, and strategic board-level security architecture advisory.

Sub-Services in Scope

Enterprise-Scale Threat Modelling Programme
Adversarial Scenario Testing and Red Team Alignment
Supply Chain and Third-Party Threat Analysis Programme
Continuous Threat Modelling Programme Design and Integration
AI and Emerging Technology Threat Analysis
Board Security Architecture Advisory and Executive Threat Reporting

Objective
Deliver a world-class enterprise threat modelling programme covering the entire system portfolio with continuous methodology integration, supply chain threat analysis, adversarial scenario validation, and ongoing advisory — providing the comprehensive security architecture governance that the most demanding regulatory and enterprise environments require.

Value Delivered
Complete security architecture threat visibility across the enterprise system portfolio, continuous threat modelling programme integration, supply chain and third-party threat governance, adversarial validation of the most critical threat scenarios, and the expert partnership needed to build and sustain a threat modelling capability that evolves with the organisation's system and threat landscape.

Foundation Tier

Sub-Services in Scope

Foundational Architecture Decomposition
STRIDE Threat Identification (Core Components)
Critical Threat Prioritisation
Control Gap Summary
Basic Compliance Mapping
Security Requirements Package

Enhanced Protection Tier

Sub-Services in Scope

Full System Architecture Decomposition
Comprehensive STRIDE and ATT&CK Analysis
Control Adequacy Evaluation and Gap Analysis
Privacy Threat Analysis (LINDDUN)
Multi-Framework Compliance Mapping
Engineering Handoff Workshop and Backlog Integration

Enterprise Resilience Tier

Sub-Services in Scope

Enterprise-Scale Threat Modelling Programme
Adversarial Scenario Testing and Red Team Alignment
Supply Chain and Third-Party Threat Analysis Programme
Continuous Threat Modelling Programme Design and Integration
AI and Emerging Technology Threat Analysis
Board Security Architecture Advisory and Executive Threat Reporting

CODEC NETWORKS VALUE PROPOSITION

Codec Networks delivers rigorous, adversary-focused threat modelling with cross-sector expertise.

Producing outcomes trusted by regulators, actionable for engineers, and reliable for governance.

Codec Networks delivers advanced Threat Modelling services that enable organizations to proactively identify, assess, and mitigate cyber risks during the design and development stages of applications, cloud environments, networks, and enterprise systems. The service strengthens secure-by-design initiatives by embedding cybersecurity into the architecture lifecycle rather than addressing vulnerabilities after deployment.

Threat Modelling helps enterprises understand potential attack vectors, threat actors, business risks, and security weaknesses before adversaries exploit them. By integrating risk-driven security methodologies, Codec Networks supports organizations in reducing security incidents, improving compliance readiness, protecting sensitive data, and strengthening enterprise cyber resilience.

Key Industry Benefits of Threat Modelling Services

Proactive Risk Identification

Identifies vulnerabilities, attack surfaces, and architectural weaknesses early in the development lifecycle.
Prevents exploitation of critical systems before production deployment.
Reduces business disruption caused by cyber incidents and ransomware attacks.

Secure-by-Design Architecture

Integrates cybersecurity controls into application, cloud, and infrastructure design.
Ensures security is embedded from initial planning through deployment.
Strengthens enterprise-wide cyber resilience and operational continuity.

Reduced Remediation Costs

Detecting security flaws during design phases significantly lowers remediation expenses.
Minimizes costly post-deployment security fixes and operational downtime.
Improves development efficiency by reducing rework cycles.

Enhanced Regulatory & Compliance Readiness

Supports compliance with global standards such as ISO 27001, PCI-DSS, GDPR, HIPAA, NIST, and SOC frameworks.
Helps organizations demonstrate due diligence in cybersecurity governance and risk management.
Assists audit readiness through structured security documentation and threat analysis.

Improved Security Posture

Prioritizes risks based on business impact, exploitability, and threat intelligence.
Strengthens defensive strategies against advanced persistent threats (APTs), insider threats, and zero-day attacks.
Enhances visibility into enterprise attack paths and threat exposure.

Protection of Critical Business Assets

Safeguards sensitive customer data, intellectual property, cloud workloads, APIs, and digital assets.
Reduces risks associated with digital transformation, cloud migration, and DevSecOps adoption.
Secures interconnected systems across hybrid and multi-cloud environments.

Delivery Approach of Codec Networks

Risk-Driven Security Methodology

Utilizes industry-recognized threat modelling frameworks such as:
- STRIDE
- DREAD
- MITRE ATT&CK
- PASTA
- OWASP Threat Modelling Methodologies
Aligns security assessments with business objectives and risk appetite.

Architecture-Centric Assessment

Conducts detailed analysis of:
- Application workflows
- Data flows
- Trust boundaries
- Authentication mechanisms
- Cloud and network architectures
Maps potential attack vectors and adversarial behaviors.

Collaborative Security Engagement

Works closely with:
- Development teams
- DevOps engineers
- Security architects
- Enterprise stakeholders
Ensures security integration across SDLC and DevSecOps pipelines.

Continuous Threat Analysis

Performs iterative threat assessments aligned with evolving business environments.
Incorporates emerging cyber threat intelligence into security recommendations.
Supports continuous security improvement and adaptive defense strategies.

Technical Competency of Codec Networks

Advanced Cybersecurity Expertise

Strong capabilities in:
- Application Security
- Cloud Security
- API Security
- Infrastructure Security
- Identity & Access Management
- Zero Trust Architecture
- Secure SDLC Practices

Deep Understanding of Modern Threat Landscapes

Expertise in analyzing:
- Ransomware attack chains
- Supply chain attacks
- Insider threats
- Advanced Persistent Threats (APTs)
- Cloud-native attack vectors
- Container and Kubernetes security risks

Security Tool & Framework Proficiency

Experience with leading security tools for:
- Threat analysis
- Architecture review
- Vulnerability management
- Security monitoring
- Threat intelligence correlation
Utilizes automated and manual threat analysis techniques for comprehensive assessments.

Cyber Security Skills of Professionals

Highly Skilled Security Consultants

Codec Networks’ cybersecurity professionals possess strong expertise in:

Threat Modelling & Risk Assessment
Secure Architecture Review
Red Teaming & Penetration Testing
Cloud Security Engineering
DevSecOps Security Integration
Security Governance & Compliance
Vulnerability Assessment & Management

Industry Certifications & Knowledge

Professionals may hold globally recognized certifications such as:

CISSP
CISM
CEH
OSCP
CCSP
ISO 27001 Lead Implementer / Auditor
AWS / Azure Security Certifications

Analytical & Strategic Security Capabilities

Ability to simulate real-world attack scenarios and adversarial tactics.
Strong understanding of business risk, cybersecurity governance, and enterprise security architecture.
Expertise in translating technical security risks into actionable business recommendations.

Business Impact Delivered to Organizations

Reduced cyberattack exposure and minimized operational risks.
Faster and more secure digital transformation initiatives.
Improved stakeholder confidence and customer trust.
Enhanced resilience against evolving cyber threats.
Better prioritization of cybersecurity investments and controls.
Long-term improvement in enterprise security maturity and governance posture

Founded in 2008 with 17+ Years of Industry Experience in Information and Cyber Security domain

Codec Networks Full-Spectrum Cybersecurity Expertise across all Industry Domains:

Security Vulnerability Assessment & Penetration Testing (VAPT): Covering Web, Mobile, API, IoT, Blockchain, Cloud-Native, and smart infrastructure environments, with a focus on OWASP, MITRE ATT&CK, and real-world exploit simulation.
Offensive Security & Deep Level Security Assessments: Advanced Red Team, Blue Team and Purple Team Exercises, Threat Simulations, Social Engineering Campaigns, and Secure Code Review.
IT Security Audit & Compliance Services: Implementation and audit support for ISO/IEC 27001, ISO 27701, NIST CSF, RBI-CSF, SEBI, IRDAI, PCI DSS, HIPAA, SOC 2, GDPR, and India’s DPDPA 2023.
Data Privacy & Strategic Risk Advisory: ISO 27701, GDPR, DPDPA, Cross-border compliance, DPIA, DPO-as-a-service, supply chain risk management, and digital transformation risk consulting.
Emerging Technology Security (Web3.0 | AI | Blockchain): Specialized testing for smart contracts, DeFi platforms, Metaverse applications, AI/ML models, quantum readiness, and blockchain nodes.
Managed SOC & Threat Monitoring Services: End-to-end SOC operations, SIEM/EDR/XDR/SOAR integration, threat intelligence, cloud security monitoring, and 24/7 incident response.
Cyber Forensics & Threat Analysis: Investigation services including Device forensics, Malware Analysis, Cloud and Mobile forensics, insider threat detection, and Forensic support.
Board-Level Cybersecurity Advisory Services to build governance, quantify risks, and align with enterprise-wide digital priorities : Codec Networks enables this transformation by offering Integrated Cyber Risk Management, GRC Program Advisory, Reputation Management, Crisis Communication Readiness, and CISO Support, tailored for CXOs and board members seeking to integrate cybersecurity into strategic decision-making.
Cyber Security Education & Global Certifications - Through the Codec Centre for Professional Excellence, we deliver Post Graduate Certification in Advanced Cybersecurity (PGCAC), Graduate Certification in Advanced Cybersecurity (GCAC), Accredited Trainings & Certifications from EC Council, PECB, TUV, Quality Austria, ISACA and ISC2 - building the next generation of cybersecurity leaders.

CERT-IN empaneled Information Security Auditing Organization
NICSI empaneled for providing Application Audit and Compliance Services under Start-Up Category

Octavo Systems is now ISO9001 Certified - Octavo Systems

10 Steps for ISO 27001 Certification – Cyber Security News Logo, company name

Description automatically generated

An ISO/IEC 27001:2022 certified company, has established Information Security Management System (ISMS), demonstrating a structured approach to manage and protect sensitive information from cyber threats.
An ISO 9001 certified company, has established and maintains a certified Quality Management System (QMS) that meets international standards for quality and consistency

At Codec Networks, our foundation is built on deep technical mastery, certified expertise, and an unrelenting pursuit of cyber excellence. With a team of globally accredited professionals, advanced methodologies, and next-generation tools, we deliver measurable security outcomes across assessment, compliance, monitoring, and forensic domains.
Our competency-driven approach ensures every engagement is governed by precision, accountability, and alignment with international standards — empowering enterprises to stay secure, compliant, and resilient.

Governance, Risk & Compliance (GRC) Competency

Codec Networks’ dedicated Governance, Risk & Compliance (GRC) group specializes in security assessments, risk management, regulatory compliance, and audit readiness. The team partners with organizations to strengthen governance frameworks and ensure end-to-end compliance in a complex regulatory landscape.

Key Attributes:

Team of certified auditors and consultants with credentials including ISO 27001 LA/LI, ISO 31000 Risk Specialist, ISO 27701 PIMS, GDPR, SOC 2, HIPAA, CCPA, DPO, CISA, CISM, CRISC, CISSP and other advanced industry certifications.
Expertise in enterprise risk quantification, privacy impact assessment (PIA/DPIA), audit automation, and supply chain risk mapping.
Proven track record in implementing ISO-based ISMS/PIMS frameworks, RBI/SEBI/IRDAI audits, and cross-border data compliance projects.

Vulnerability Assessment & Penetration Testing (VAPT) Expertise

Our VAPT teams bring extensive technical depth across Web, Mobile, API, Cloud, Network, Database, Infrastructure, IoT, and People & Process domains.
Every engagement is mapped to OWASP, NIST, MITRE ATT&CK, ISO 27001, PCI DSS, HIPAA, RBI, and GDPR frameworks — ensuring real-world relevance and compliance alignment.

Core Strengths:

Certified professionals with CEH, C-PENT, LPT, OSCP, OSWE, OSEE, and CREST credentials, averaging 7–10 years of offensive security experience.
Proven expertise in Red/Blue/Purple Teaming, DevSecOps, secure SDLC, and threat emulation.
Continuous skill enhancement through CTFs, hackathons, and product certifications (on case to case basis) such as CCNA, CCNP, Juniper, Fortinet, McAfee, RSA etc

Managed SOC & Threat Intelligence Operations

Codec Networks operates a 24/7 Managed Security Operations Center (SOC) delivering continuous visibility, detection, and response across hybrid environments.
Our SOC integrates SIEM, SOAR, EDR/XDR, and Cloud-Native Analytics to ensure rapid threat detection, incident containment, and business continuity.

Key Capabilities:

Certified SOC analysts with credentials such as CHFI, CEH, CompTIA CySA+, GCIA, GCFA, and Splunk Certified Architect.
Integration with platforms like Splunk, QRadar, SentinelOne, CrowdStrike, Elastic, Microsoft Sentinel, and Cortex XSOAR.
Advanced use cases include cloud posture management, insider threat analytics, MITRE ATT&CK–aligned detections, and threat hunting automation.
Comprehensive SOC Maturity Assessments and Threat Intelligence Fusion through integration with global feeds and dark web monitoring.

Cyber Forensics & Threat Analysis Expertise

Our Cyber Forensic Division delivers end-to-end investigation, evidence preservation, and digital analysis services — designed to support law enforcement, corporate forensics, and internal response teams.
We combine forensic science with cyber intelligence to identify root causes, trace adversaries, and restore operational integrity.

Core Expertise Areas:

Device, Network, Cloud, and Mobile Forensics – leveraging latest forensic tools (wherever applicable) such as Autopsy, Cyber Triage, Kape, EnCase, FTK, Magnet AXIOM, and Cellebrite.
Malware Reverse Engineering and Memory Forensics for incident containment and threat attribution.
Blockchain & Crypto Forensics – tracing DeFi fraud, NFT manipulation, and crypto laundering activities using Chainalysis, TRM Labs, and Elliptic (wherever applicable).
Incident Response Support – forensic readiness, eDiscovery, evidence preservation, aligned with ISO/IEC 27037 & 27043.
Certified experts including CHFI, eCIR, eCDFP, GCFE, GCFA, EnCE, CFCE and ECIH, ensuring investigations meet both technical and legal standards.

Advanced Tools, Frameworks & Continuous Innovation

Codec Networks leverages industry-leading tools and platforms such as Burp Suite Pro, Nessus, Prisma Cloud, Splunk, QRadar, CrowdStrike, SentinelOne, Autopsy, Chainalysis, MythX, and Prowler, (wherever applicable) ensuring accuracy, scalability, and efficiency.
Our methodologies align with globally recognized frameworks including:

MITRE ATT&CK & D3FEND
OWASP Top 10 / MASVS / ASVS
NIST Cybersecurity Framework & SP 800-115
ISO/IEC 27001, 27701, 31000, 22301

Through ongoing research, Codec Networks continually evolves to address modern threats — from Generative AI prompt attacks and smart contract exploits to IoT zero-days, metaverse impersonation, and quantum-era vulnerabilities.

Compliance-Driven Deliverables

All technical engagements and reports are mapped to major global and Indian compliance frameworks — including ISO 27001, PCI DSS, HIPAA, GDPR, RBI-CSF, SEBI, IRDAI, and DPDPA 2023.
Our structured technical and executive reports support board-level visibility, audit evidence, and certification readiness, ensuring that every engagement drives both technical assurance and regulatory confidence.

Codec Networks – Certified Competence. Proven Expertise. Real-World Cyber Resilience.
Empowering enterprises through advanced security engineering, continuous monitoring, and forensic intelligence.

At Codec Networks, we believe that cybersecurity excellence is not achieved through tools alone — it is built through methodical delivery, risk-based insight, and measurable outcomes.
Our Agile and Modular 8-Stage Delivery Methodology ensures that every engagement — from rapid risk assessments to full-scale ISMS implementations - is structured, standards-aligned, and business-focused.

Agile & Modular Methodology

Our delivery framework integrates global best practices with localized regulatory insight, ensuring each engagement is executed with clarity, accountability, and precision. Clients benefit from seamless onboarding, milestone-driven execution, and transparent reporting throughout the lifecycle.

Discovery & Scoping: Collaborative workshops to understand business context, IT landscape, compliance obligations, and risk appetite, forming the foundation of a well-defined project scope.
Risk Profiling & Gap Assessment: Comprehensive evaluation of people, process, and technology controls aligned with ISO 27001, NIST CSF, GDPR, HIPAA, DPDPA 2023, RBI, and PCI DSS.
Regulatory Mapping & Framework Alignment: Mapping organizational obligations against applicable standards and laws — from ISO & NIST to RBI, SEBI, IRDAI, UIDAI, and DPDPA — including new-age frameworks like ISO 42001 (AI) and FATF for emerging technologies.
Security Architecture & Control Design: Designing or refining network, cloud, and data security architectures with controls tailored for cloud, AI, OT/ICS, and Web3.0 environments.
Documentation & Policy Development: Creation and refinement of Policies, SOPs, Risk Registers, DPIAs, Incident Response Plans, and Governance Documents, ensuring audit readiness and legal compliance.
Implementation & Risk Treatment: Execution of remediation roadmaps, vendor risk management, privacy engineering, and workforce training to mitigate gaps and operationalize security controls.
Validation, Testing & Audit Readiness: Conducting mock audits, VAPT, forensic readiness, and compliance testing to validate effectiveness and prepare for certifications.
Governance Reporting & Continual Improvement: Delivering executive dashboards, compliance scorecards, and board-level insights with ongoing advisory through vCISO and DPO-as-a-Service models.

Risk-Based & Business-Oriented Audit Approach

Our methodology goes beyond testing systems — it focuses on how vulnerabilities translate into business, reputational, and compliance risks.

Deliver Deep Insight: Actionable intelligence into vulnerabilities, attack paths, business impact, and remediation priorities.
Extend Beyond Tools: Manual and contextual assessments combining automation with human expertise across government, financial, and commercial sectors.
Actionable Reporting: Executive-friendly reports that translate complex findings into strategic, risk-aware recommendations.
Efficient Execution: Critical assets prioritized for testing to deliver maximum value within tight engagement windows.

Outcome-Driven Engagements for Security Maturity

Each stage is modular yet interconnected, adaptable to enterprises of any scale or industry. Whether it’s a cloud-native fintech pursuing SOC 2, a healthcare provider ensuring HIPAA alignment, or a bank meeting RBI-CSF requirements, Codec Networks ensures consistency, compliance, and measurable improvement.

Beyond certification checklists, our Post-Audit Support and Continuous Risk Monitoring provide remediation guidance, breach response playbooks, staff training, and ongoing compliance tracking — building sustainable security posture and resilient business continuity.

Codec Networks – Turning Compliance into a Competitive Advantage.
Structured. Measurable. Secure. Always Aligned with Your Business Goals.

At Codec Networks, our clients are not just audit subjects—they are long-term partners in a shared cybersecurity journey. Every engagement is designed around the client’s business priorities, security maturity, and risk appetite, ensuring solutions that are relevant, practical, and results-driven.

With a legacy of 650+ successful engagements across industries such as Banking, Fintech, Healthcare, Telecom, Energy, Aviation, Manufacturing, E-commerce, and Government, Codec Networks has attempted to become a trusted advisor for organizations seeking to transform compliance into resilience.

Our engagement philosophy extends beyond conventional audits. We integrate strategic advisory, technical assurance, remediation support, and continuous compliance monitoring, creating a full lifecycle relationship rather than a one-time service. Clients benefit from:

Personalized advisory frameworks tailored to their business model and operational scale.
Collaborative engagement models featuring joint workshops, stakeholder training, and compliance awareness sessions.
Board-level guidance and reporting that translates complex technical findings into actionable business intelligence.
Transparent communication channels with dedicated project managers, secure digital workspaces, and real-time status dashboards.

By combining the objectivity of an auditor with the empathy of an advisor, Codec Networks builds trust, accountability, and measurable security growth. Our commitment is simple — to deliver cybersecurity as a continuous partnership, not a periodic project.

Codec Networks – Where Advisory Meets Assurance.
Empowering Clients Through Partnership, Transparency, and Trust.

At Codec Networks, integrity, professionalism, and ethical responsibility form the cornerstone of every engagement. As a trusted strategic partner in cybersecurity, we operate within the highest standards of ethical conduct, legal compliance, and regulatory governance, ensuring our services strengthen both our clients’ defenses and their reputations.

We adhere to a strict ethical code of conduct, driven by transparency, independence, and accountability. Every consultant, auditor, and engineer within Codec Networks upholds the core security triad of Confidentiality, Integrity, and Availability (CIA) — ensuring data protection, operational reliability, and business continuity at all times.

Our professional ethos blends technical excellence with moral responsibility, following structured processes, defined service standards, and adherence to international and national regulatory frameworks.

Our Ethical & Professional Commitments

Zero-Compromise Consulting: We maintain independence, neutrality, and confidentiality across all audits and advisory engagements.
Legal & Regulatory Conformance: We assist clients to conform strictly within the boundaries of applicable cyber laws, privacy regulations, and data protection statutes.
Client-First Philosophy: Every recommendation is designed to safeguard stakeholder interests, minimize legal exposure, and build sustainable resilience.
Outcome-Driven Security Maturity: Our modular yet integrated delivery approach supports organizations of all sizes in achieving measurable improvements in security posture.
Global Delivery, Local Integrity: Our Global Network Delivery Model integrates international best practices with local regulatory expertise — ensuring value-driven, compliant outcomes.

Industry-Specific Security Advisory

Recognizing that every sector faces distinct threats and compliance challenges, Codec Networks provides customized, industry-aligned security advisory across BFSI, Fintech, Telecom, Healthcare, Energy, Aviation, E-commerce, Government, and Critical Infrastructure domains.

Our sector-specific consulting translates regulatory complexity into practical, business-aware strategies, ensuring risk mitigation plans are compliant, auditable, and operationally feasible.

Our Commitment

With a zero-tolerance approach to ethical compromise, Codec Networks stands for trust, transparency, and truth in cybersecurity. We are more than consultants — we are custodians of digital integrity, committed to helping organizations navigate risk, maintain compliance, and enable secure business growth.

Codec Networks – Where Integrity Meets Innovation. Trusted. Ethical. Future-Ready.

At Codec Networks, we combine the strength of a global delivery ecosystem with the precision of local regulatory insight to deliver cybersecurity solutions that are both internationally benchmarked and regionally compliant.

Our Global Delivery Capability enables clients across continents to access specialized cybersecurity expertise, advanced technologies, and globally aligned methodologies. Through a distributed network of certified professionals, partner alliances, and intelligence centers, Codec Networks ensures consistent service quality and rapid response across time zones and geographies.

What truly differentiates us is our Local Expertise—a deep understanding of national regulations, industry frameworks, and operational nuances that shape cybersecurity implementation in each region.

Our hybrid delivery model blends remote and on-site collaboration, combining the agility of digital operations with the contextual understanding of local consultants. This ensures culturally aligned communication, faster problem resolution, and seamless coordination with client teams.

With a presence across India, Codec Networks empowers global enterprises to manage cybersecurity uniformly while adapting to local risks, regulations, and realities.

Codec Networks – Global Vision. Local Precision. Consistent Cyber Resilience.

“With Codec Networks, you’re not just buying a service — you’re investing in a cybersecurity ally who understands your business, defends your reputation, and strengthens your future.”

At Codec Networks, we believe cybersecurity is not a project — it’s a partnership.
Our approach is built on trust, transparency, and transformation, helping clients evolve from compliance readiness to cyber resilience.

Your Strategic Security Partner

Codec Networks acts as a strategic security partner, providing continuous roadmap development, architecture reviews, and improvement programs that evolve with your business and the threat landscape.

“We don’t just secure businesses — we empower them to lead with confidence in a digital-first world.”

Our strength lies in the fusion of technical depth, regulatory insight, industry specialization, and future readiness — providing unmatched cybersecurity value to enterprises across India and beyond.

Codec Networks – Certified Competence. Proven Expertise. Real-World Cyber Resilience.
Empowering enterprises through advanced security engineering, continuous monitoring, and forensic intelligence.

Every engagement reflects our belief that advisory must meet assurance — a promise we deliver through partnership, integrity, and measurable impact.

Codec Networks – Where Advisory Meets Assurance.
Empowering Clients Through Partnership, Transparency, and Trust.

And above all —

“Decoding Threats. Coding Solutions.”
That’s the Codec Networks Advantage.

Industry Value Propositions / Benefits of Codec Networks Delivering Threat Modelling Services

Key Industry Benefits of Threat Modelling Services

Proactive Risk Identification

Identifies vulnerabilities, attack surfaces, and architectural weaknesses early in the development lifecycle.
Prevents exploitation of critical systems before production deployment.
Reduces business disruption caused by cyber incidents and ransomware attacks.

Secure-by-Design Architecture

Integrates cybersecurity controls into application, cloud, and infrastructure design.
Ensures security is embedded from initial planning through deployment.
Strengthens enterprise-wide cyber resilience and operational continuity.

Reduced Remediation Costs

Detecting security flaws during design phases significantly lowers remediation expenses.
Minimizes costly post-deployment security fixes and operational downtime.
Improves development efficiency by reducing rework cycles.

Enhanced Regulatory & Compliance Readiness

Supports compliance with global standards such as ISO 27001, PCI-DSS, GDPR, HIPAA, NIST, and SOC frameworks.
Helps organizations demonstrate due diligence in cybersecurity governance and risk management.
Assists audit readiness through structured security documentation and threat analysis.

Improved Security Posture

Prioritizes risks based on business impact, exploitability, and threat intelligence.
Strengthens defensive strategies against advanced persistent threats (APTs), insider threats, and zero-day attacks.
Enhances visibility into enterprise attack paths and threat exposure.

Protection of Critical Business Assets

Safeguards sensitive customer data, intellectual property, cloud workloads, APIs, and digital assets.
Reduces risks associated with digital transformation, cloud migration, and DevSecOps adoption.
Secures interconnected systems across hybrid and multi-cloud environments.

Delivery Approach of Codec Networks

Risk-Driven Security Methodology

Utilizes industry-recognized threat modelling frameworks such as:
- STRIDE
- DREAD
- MITRE ATT&CK
- PASTA
- OWASP Threat Modelling Methodologies
Aligns security assessments with business objectives and risk appetite.

Architecture-Centric Assessment

Conducts detailed analysis of:
- Application workflows
- Data flows
- Trust boundaries
- Authentication mechanisms
- Cloud and network architectures
Maps potential attack vectors and adversarial behaviors.

Collaborative Security Engagement

Works closely with:
- Development teams
- DevOps engineers
- Security architects
- Enterprise stakeholders
Ensures security integration across SDLC and DevSecOps pipelines.

Continuous Threat Analysis

Performs iterative threat assessments aligned with evolving business environments.
Incorporates emerging cyber threat intelligence into security recommendations.
Supports continuous security improvement and adaptive defense strategies.

Technical Competency of Codec Networks

Advanced Cybersecurity Expertise

Strong capabilities in:
- Application Security
- Cloud Security
- API Security
- Infrastructure Security
- Identity & Access Management
- Zero Trust Architecture
- Secure SDLC Practices

Deep Understanding of Modern Threat Landscapes

Expertise in analyzing:
- Ransomware attack chains
- Supply chain attacks
- Insider threats
- Advanced Persistent Threats (APTs)
- Cloud-native attack vectors
- Container and Kubernetes security risks

Security Tool & Framework Proficiency

Experience with leading security tools for:
- Threat analysis
- Architecture review
- Vulnerability management
- Security monitoring
- Threat intelligence correlation
Utilizes automated and manual threat analysis techniques for comprehensive assessments.

Cyber Security Skills of Professionals

Highly Skilled Security Consultants

Codec Networks’ cybersecurity professionals possess strong expertise in:

Threat Modelling & Risk Assessment
Secure Architecture Review
Red Teaming & Penetration Testing
Cloud Security Engineering
DevSecOps Security Integration
Security Governance & Compliance
Vulnerability Assessment & Management

Industry Certifications & Knowledge

Professionals may hold globally recognized certifications such as:

CISSP
CISM
CEH
OSCP
CCSP
ISO 27001 Lead Implementer / Auditor
AWS / Azure Security Certifications

Analytical & Strategic Security Capabilities

Ability to simulate real-world attack scenarios and adversarial tactics.
Strong understanding of business risk, cybersecurity governance, and enterprise security architecture.
Expertise in translating technical security risks into actionable business recommendations.

Business Impact Delivered to Organizations

Reduced cyberattack exposure and minimized operational risks.
Faster and more secure digital transformation initiatives.
Improved stakeholder confidence and customer trust.
Enhanced resilience against evolving cyber threats.
Better prioritization of cybersecurity investments and controls.
Long-term improvement in enterprise security maturity and governance posture

Codec Networks’ – Empowering enterprises to build trust, resilience, and secure digital transformation

Founded in 2008 with 17+ Years of Industry Experience in Information and Cyber Security domain

Codec Networks Full-Spectrum Cybersecurity Expertise across all Industry Domains:

Security Vulnerability Assessment & Penetration Testing (VAPT): Covering Web, Mobile, API, IoT, Blockchain, Cloud-Native, and smart infrastructure environments, with a focus on OWASP, MITRE ATT&CK, and real-world exploit simulation.
Offensive Security & Deep Level Security Assessments: Advanced Red Team, Blue Team and Purple Team Exercises, Threat Simulations, Social Engineering Campaigns, and Secure Code Review.
IT Security Audit & Compliance Services: Implementation and audit support for ISO/IEC 27001, ISO 27701, NIST CSF, RBI-CSF, SEBI, IRDAI, PCI DSS, HIPAA, SOC 2, GDPR, and India’s DPDPA 2023.
Data Privacy & Strategic Risk Advisory: ISO 27701, GDPR, DPDPA, Cross-border compliance, DPIA, DPO-as-a-service, supply chain risk management, and digital transformation risk consulting.
Emerging Technology Security (Web3.0 | AI | Blockchain): Specialized testing for smart contracts, DeFi platforms, Metaverse applications, AI/ML models, quantum readiness, and blockchain nodes.
Managed SOC & Threat Monitoring Services: End-to-end SOC operations, SIEM/EDR/XDR/SOAR integration, threat intelligence, cloud security monitoring, and 24/7 incident response.
Cyber Forensics & Threat Analysis: Investigation services including Device forensics, Malware Analysis, Cloud and Mobile forensics, insider threat detection, and Forensic support.
Board-Level Cybersecurity Advisory Services to build governance, quantify risks, and align with enterprise-wide digital priorities : Codec Networks enables this transformation by offering Integrated Cyber Risk Management, GRC Program Advisory, Reputation Management, Crisis Communication Readiness, and CISO Support, tailored for CXOs and board members seeking to integrate cybersecurity into strategic decision-making.
Cyber Security Education & Global Certifications - Through the Codec Centre for Professional Excellence, we deliver Post Graduate Certification in Advanced Cybersecurity (PGCAC), Graduate Certification in Advanced Cybersecurity (GCAC), Accredited Trainings & Certifications from EC Council, PECB, TUV, Quality Austria, ISACA and ISC2 - building the next generation of cybersecurity leaders.

Codec Networks’ with Global Certification, Empanelment & Licenses

CERT-IN empaneled Information Security Auditing Organization
NICSI empaneled for providing Application Audit and Compliance Services under Start-Up Category

Octavo Systems is now ISO9001 Certified - Octavo Systems

10 Steps for ISO 27001 Certification – Cyber Security News Logo, company name

Description automatically generated

An ISO/IEC 27001:2022 certified company, has established Information Security Management System (ISMS), demonstrating a structured approach to manage and protect sensitive information from cyber threats.
An ISO 9001 certified company, has established and maintains a certified Quality Management System (QMS) that meets international standards for quality and consistency

Technical Competency and Certified Expertise

Governance, Risk & Compliance (GRC) Competency

Key Attributes:

Team of certified auditors and consultants with credentials including ISO 27001 LA/LI, ISO 31000 Risk Specialist, ISO 27701 PIMS, GDPR, SOC 2, HIPAA, CCPA, DPO, CISA, CISM, CRISC, CISSP and other advanced industry certifications.
Expertise in enterprise risk quantification, privacy impact assessment (PIA/DPIA), audit automation, and supply chain risk mapping.
Proven track record in implementing ISO-based ISMS/PIMS frameworks, RBI/SEBI/IRDAI audits, and cross-border data compliance projects.

Vulnerability Assessment & Penetration Testing (VAPT) Expertise

Core Strengths:

Certified professionals with CEH, C-PENT, LPT, OSCP, OSWE, OSEE, and CREST credentials, averaging 7–10 years of offensive security experience.
Proven expertise in Red/Blue/Purple Teaming, DevSecOps, secure SDLC, and threat emulation.
Continuous skill enhancement through CTFs, hackathons, and product certifications (on case to case basis) such as CCNA, CCNP, Juniper, Fortinet, McAfee, RSA etc

Managed SOC & Threat Intelligence Operations

Key Capabilities:

Certified SOC analysts with credentials such as CHFI, CEH, CompTIA CySA+, GCIA, GCFA, and Splunk Certified Architect.
Integration with platforms like Splunk, QRadar, SentinelOne, CrowdStrike, Elastic, Microsoft Sentinel, and Cortex XSOAR.
Advanced use cases include cloud posture management, insider threat analytics, MITRE ATT&CK–aligned detections, and threat hunting automation.
Comprehensive SOC Maturity Assessments and Threat Intelligence Fusion through integration with global feeds and dark web monitoring.

Cyber Forensics & Threat Analysis Expertise

Core Expertise Areas:

Device, Network, Cloud, and Mobile Forensics – leveraging latest forensic tools (wherever applicable) such as Autopsy, Cyber Triage, Kape, EnCase, FTK, Magnet AXIOM, and Cellebrite.
Malware Reverse Engineering and Memory Forensics for incident containment and threat attribution.
Blockchain & Crypto Forensics – tracing DeFi fraud, NFT manipulation, and crypto laundering activities using Chainalysis, TRM Labs, and Elliptic (wherever applicable).
Incident Response Support – forensic readiness, eDiscovery, evidence preservation, aligned with ISO/IEC 27037 & 27043.
Certified experts including CHFI, eCIR, eCDFP, GCFE, GCFA, EnCE, CFCE and ECIH, ensuring investigations meet both technical and legal standards.

Advanced Tools, Frameworks & Continuous Innovation

MITRE ATT&CK & D3FEND
OWASP Top 10 / MASVS / ASVS
NIST Cybersecurity Framework & SP 800-115
ISO/IEC 27001, 27701, 31000, 22301

Compliance-Driven Deliverables

Structured Delivery Approach

Agile & Modular Methodology

Discovery & Scoping: Collaborative workshops to understand business context, IT landscape, compliance obligations, and risk appetite, forming the foundation of a well-defined project scope.
Risk Profiling & Gap Assessment: Comprehensive evaluation of people, process, and technology controls aligned with ISO 27001, NIST CSF, GDPR, HIPAA, DPDPA 2023, RBI, and PCI DSS.
Regulatory Mapping & Framework Alignment: Mapping organizational obligations against applicable standards and laws — from ISO & NIST to RBI, SEBI, IRDAI, UIDAI, and DPDPA — including new-age frameworks like ISO 42001 (AI) and FATF for emerging technologies.
Security Architecture & Control Design: Designing or refining network, cloud, and data security architectures with controls tailored for cloud, AI, OT/ICS, and Web3.0 environments.
Documentation & Policy Development: Creation and refinement of Policies, SOPs, Risk Registers, DPIAs, Incident Response Plans, and Governance Documents, ensuring audit readiness and legal compliance.
Implementation & Risk Treatment: Execution of remediation roadmaps, vendor risk management, privacy engineering, and workforce training to mitigate gaps and operationalize security controls.
Validation, Testing & Audit Readiness: Conducting mock audits, VAPT, forensic readiness, and compliance testing to validate effectiveness and prepare for certifications.
Governance Reporting & Continual Improvement: Delivering executive dashboards, compliance scorecards, and board-level insights with ongoing advisory through vCISO and DPO-as-a-Service models.

Risk-Based & Business-Oriented Audit Approach

Our methodology goes beyond testing systems — it focuses on how vulnerabilities translate into business, reputational, and compliance risks.

Deliver Deep Insight: Actionable intelligence into vulnerabilities, attack paths, business impact, and remediation priorities.
Extend Beyond Tools: Manual and contextual assessments combining automation with human expertise across government, financial, and commercial sectors.
Actionable Reporting: Executive-friendly reports that translate complex findings into strategic, risk-aware recommendations.
Efficient Execution: Critical assets prioritized for testing to deliver maximum value within tight engagement windows.

Outcome-Driven Engagements for Security Maturity

Codec Networks – Turning Compliance into a Competitive Advantage.
Structured. Measurable. Secure. Always Aligned with Your Business Goals.

Client-Centric Engagement & Advisory

Personalized advisory frameworks tailored to their business model and operational scale.
Collaborative engagement models featuring joint workshops, stakeholder training, and compliance awareness sessions.
Board-level guidance and reporting that translates complex technical findings into actionable business intelligence.
Transparent communication channels with dedicated project managers, secure digital workspaces, and real-time status dashboards.

Codec Networks – Where Advisory Meets Assurance.
Empowering Clients Through Partnership, Transparency, and Trust.

Best Industry Practices & Ethical Code of Conduct

Our Ethical & Professional Commitments

Zero-Compromise Consulting: We maintain independence, neutrality, and confidentiality across all audits and advisory engagements.
Legal & Regulatory Conformance: We assist clients to conform strictly within the boundaries of applicable cyber laws, privacy regulations, and data protection statutes.
Client-First Philosophy: Every recommendation is designed to safeguard stakeholder interests, minimize legal exposure, and build sustainable resilience.
Outcome-Driven Security Maturity: Our modular yet integrated delivery approach supports organizations of all sizes in achieving measurable improvements in security posture.
Global Delivery, Local Integrity: Our Global Network Delivery Model integrates international best practices with local regulatory expertise — ensuring value-driven, compliant outcomes.

Industry-Specific Security Advisory

Our sector-specific consulting translates regulatory complexity into practical, business-aware strategies, ensuring risk mitigation plans are compliant, auditable, and operationally feasible.

Our Commitment

Codec Networks – Where Integrity Meets Innovation. Trusted. Ethical. Future-Ready.

Global Delivery Capability with Local Expertise

With a presence across India, Codec Networks empowers global enterprises to manage cybersecurity uniformly while adapting to local risks, regulations, and realities.

Codec Networks – Global Vision. Local Precision. Consistent Cyber Resilience.

Quotes & Un-quotes

“With Codec Networks, you’re not just buying a service — you’re investing in a cybersecurity ally who understands your business, defends your reputation, and strengthens your future.”

Your Strategic Security Partner

“We don’t just secure businesses — we empower them to lead with confidence in a digital-first world.”

Every engagement reflects our belief that advisory must meet assurance — a promise we deliver through partnership, integrity, and measurable impact.

Codec Networks – Where Advisory Meets Assurance.
Empowering Clients Through Partnership, Transparency, and Trust.

And above all —

“Decoding Threats. Coding Solutions.”
That’s the Codec Networks Advantage.

WHAT OUR CUSTOMERS SAY

Codec Networks' threat model identified risks, impacted architecture areas, and required controls. Security

requirements fed directly into our backlog, making the next release significantly more secure

Vijay
Software Developer

Vijay Is A Passionate Software Developer Specializing In Building Scalable Web Applications And Apis. He Enjoys Solving Complex Problems With Clean
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Deepak
Software Developer

Deepak Is A Passionate Software Developer Specializing In Building Scalable Web Applications And Apis. He Enjoys Solving Complex Problems With Clean
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Vijay

Software Developer

Vijay Is A Passionate Software Developer Specializing In Building Scalable Web Applications And Apis. He Enjoys Solving Complex Problems With Clean

Deepak

Software Developer

Deepak Is A Passionate Software Developer Specializing In Building Scalable Web Applications And Apis. He Enjoys Solving Complex Problems With Clean

INDUSTRY & SECURITY THREAT LANDSCAPE

Mapping the industry and threat landscape through a threat modelling lens enables organisations to build security

programmes that address genuine architectural risk — directing engineering effort where it produces the greatest

reduction in actual system vulnerability and the most credible evidence of security design discipline.

Industry Landscape
Threat Landscape

Business & Cyber Challenges

Financial systems — core banking platforms, payment gateways, trading infrastructure, insurance claims engines — process high-value transactions and sensitive personal financial data, making them primary targets for adversaries across all capability levels.
Open banking and API banking architectures have created complex trust boundary environments where financial data flows between core systems, third-party fintechs, aggregators, and analytics platforms — creating attack surfaces that informal security review does not consistently map.
PCI DSS v4.0 now explicitly requires threat modelling for organisations building or significantly modifying payment card handling systems — a requirement that many financial institutions are addressing with compliance documentation rather than genuine structured analysis.
Insider threat and privileged access risk in financial systems requires specific threat modelling attention — the most consequential financial system breaches frequently involve trusted insider access rather than external compromise.
Regulatory obligations from in country regulatory norms and guidelines, in country regulatory norms and guidelines, I in country regulatory norms and guidelines, and equivalent bodies require demonstrated evidence of structured security design analysis — organisations meeting these requirements with generic security assessments rather than system-specific threat models are increasingly exposed to regulatory examination findings.

How Threat Modelling Helps

Applies structured threat analysis to open banking API architectures — identifying trust boundary weaknesses, authentication gap risks, and data exposure pathways before APIs are deployed to production.
Produces PCI DSS v4.0-compliant threat model documentation that directly satisfies Requirement 6.3.2 — reducing compliance evidence burden for payment-handling organisations pursuing QSA assessment.
Models insider threat scenarios against privileged access architectures — identifying where access control design creates unacceptable risk and where monitoring and detection gaps would allow insider misuse to go undetected.
Generates security requirements calibrated for financial institution change management — implementable within existing SDLC processes and structured for integration with JIRA, ServiceNow, or equivalent backlog management tools.
Provides compliance mapping documentation aligned to in country regulatory norms and guidelines, in country regulatory norms and guidelines, and in country regulatory norms and guidelines security design requirements — supporting regulatory examination with evidence of structured, methodology-compliant threat analysis.

INDUSTRY & SECURITY THREAT LANDSCAPE

Mapping the industry and threat landscape through a threat modelling lens enables organisations to build security

programmes that address genuine architectural risk — directing engineering effort where it produces the greatest

reduction in actual system vulnerability and the most credible evidence of security design discipline.

Industry Landscape

Banking, Financial Services and Insurance (BFSI)

Business & Cyber Challenges

Financial systems — core banking platforms, payment gateways, trading infrastructure, insurance claims engines — process high-value transactions and sensitive personal financial data, making them primary targets for adversaries across all capability levels.
Open banking and API banking architectures have created complex trust boundary environments where financial data flows between core systems, third-party fintechs, aggregators, and analytics platforms — creating attack surfaces that informal security review does not consistently map.
PCI DSS v4.0 now explicitly requires threat modelling for organisations building or significantly modifying payment card handling systems — a requirement that many financial institutions are addressing with compliance documentation rather than genuine structured analysis.
Insider threat and privileged access risk in financial systems requires specific threat modelling attention — the most consequential financial system breaches frequently involve trusted insider access rather than external compromise.
Regulatory obligations from in country regulatory norms and guidelines, in country regulatory norms and guidelines, I in country regulatory norms and guidelines, and equivalent bodies require demonstrated evidence of structured security design analysis — organisations meeting these requirements with generic security assessments rather than system-specific threat models are increasingly exposed to regulatory examination findings.

How Threat Modelling Helps

Applies structured threat analysis to open banking API architectures — identifying trust boundary weaknesses, authentication gap risks, and data exposure pathways before APIs are deployed to production.
Produces PCI DSS v4.0-compliant threat model documentation that directly satisfies Requirement 6.3.2 — reducing compliance evidence burden for payment-handling organisations pursuing QSA assessment.
Models insider threat scenarios against privileged access architectures — identifying where access control design creates unacceptable risk and where monitoring and detection gaps would allow insider misuse to go undetected.
Generates security requirements calibrated for financial institution change management — implementable within existing SDLC processes and structured for integration with JIRA, ServiceNow, or equivalent backlog management tools.
Provides compliance mapping documentation aligned to in country regulatory norms and guidelines, in country regulatory norms and guidelines, and in country regulatory norms and guidelines security design requirements — supporting regulatory examination with evidence of structured, methodology-compliant threat analysis.

FinTech and Digital Payments

Business & Cyber Challenges

FinTech organisations design and deploy new product features at a velocity that makes traditional point-in-time security review structurally insufficient — security analysis must be embedded in design and sprint processes to keep pace.
Payment processing architectures — particularly those combining cloud-native services, third-party payment processors, and mobile client applications — create multi-layer trust boundary environments whose security implications accumulate with each new integration.
Open source component dependencies, CI/CD pipeline configurations, and IaC templates create supply chain attack surfaces that FinTech development programmes do not consistently model as part of their architectural threat landscape.
Investor due diligence, enterprise customer procurement, and banking partner accreditation processes are increasingly requiring evidence of structured security design processes — FinTechs without threat modelling outputs are disadvantaged in growth-critical commercial processes.

How Threat Modelling Helps

Provides a threat modelling framework designed for FinTech development velocity — structured enough to produce compliance-grade documentation, lightweight enough to integrate into sprint planning and feature design processes.
Models supply chain threats against CI/CD pipelines, open source dependencies, and IaC configurations — producing specific security requirements for build and deployment security that address a threat category FinTechs consistently under-analyse.
Identifies trust boundary weaknesses in payment processor integrations, banking API connections, and third-party analytics platforms — providing the architectural security evidence that banking partners and enterprise customers require.
Produces the threat modelling documentation that investor due diligence, enterprise procurement, and PCI DSS QSA assessment require — converting security design discipline into a commercial advantage across the FinTech growth lifecycle.

Healthcare and HealthTech

Business & Cyber Challenges

Healthcare systems process some of the most sensitive personal data — patient records, diagnostic imaging, genomic data, mental health information — with privacy breach consequences that extend beyond regulatory enforcement to direct patient harm.
Clinical system integrations — EHR platforms, diagnostic lab systems, pharmacy networks, insurance claim processors — create complex inter-organisational trust boundary environments whose security implications require formal architectural analysis.
HIPAA Security Rule, GDPR Article 25, and In-country regulatory norms and guidelines impose data protection by design obligations that structured threat modelling directly addresses — obligations that many healthcare organisations are meeting with generic privacy policies rather than system-specific threat analysis.
Medical device and connected health technology manufacturers face FDA cybersecurity guidance and IEC 62443 requirements for security by design — requirements that mandate structured threat modelling as part of the product development process.

How Threat Modelling Helps

Delivers clinical system threat analysis integrating security threats and privacy threats within a unified framework — reflecting the interconnected nature of these risk categories in healthcare rather than treating them through separate assessment processes.
Produces GDPR Article 25 and In-country regulatory norms and guidelines data protection by design documentation — providing the DPIA-compatible threat analysis that supervisory authorities expect for health data processing activities.
Applies IEC 62443 security by design methodology to connected health and medical device architectures — addressing the patient safety implications of security failures that standard application threat modelling frameworks do not consistently address.
Models inter-organisational API trust relationships between healthcare providers, payers, and diagnostic platforms — identifying where clinical data flows create regulatory risk and where authentication architecture creates unauthorised access pathways.

E-commerce and Retail

Business & Cyber Challenges

Retail platforms handle payment card data, customer PII, loyalty programme information, and behavioural data across architectures combining cloud-native services, mobile applications, third-party payment processors, and personalisation platforms.
Rapid feature deployment cadences and seasonal scaling architecture create windows where security control coverage changes — changes that formal threat modelling integrated into the development process would identify and address before they reach production.
Third-party integrations — payment processors, logistics APIs, recommendation engines, marketing platforms — introduce trust relationships whose security implications accumulate with each new vendor and whose aggregate effect on the system's attack surface is rarely formally mapped.
PCI DSS compliance obligations impose specific security design requirements on cardholder data environment components — requirements that threat modelling directly addresses with the architectural precision that compliance assessors require.

How Threat Modelling Helps

Maps payment card data flows through the complete system architecture — identifying where cardholder data is processed, transmitted, and stored in ways that PCI DSS scope analysis and threat modelling must address.
Models third-party integration threats systematically — identifying where the access granted to payment processors, analytics platforms, and logistics providers creates trust boundary weaknesses that could enable supply chain compromise.
Integrates into seasonal scaling and feature deployment processes — providing threat analysis for architectural changes before they are deployed to production rather than after security gaps have been introduced at scale.
Produces PCI DSS-compatible threat model documentation that QSAs can review directly — reducing the compliance evidence overhead for retail organisations managing multiple PCI DSS compliance obligations simultaneously.

Telecom and 5G / Cloud Communications

Business & Cyber Challenges

5G core network architectures — built on cloud-native, microservices-based network functions — introduce Kubernetes security, service mesh security, and API security threat categories that traditional telecom security frameworks were not designed to address.
Network function virtualisation and software-defined networking create architectures where security decisions are made in code and configuration rather than hardware — requiring formal threat modelling to identify the security implications of architectural choices before deployment.
Subscriber data — location records, communication metadata, device identifiers — is processed across complex distributed architectures with regulatory obligations that require data protection by design analysis at the architectural level.
Critical infrastructure status in most jurisdictions imposes enhanced security obligations — threat modelling providing structured evidence of security design discipline for national regulatory and security agency expectations.

How Threat Modelling Helps

Applies cloud-native security threat analysis to 5G network function architectures — addressing Kubernetes security, service mesh interception, API gateway threats, and container escape scenarios specific to cloud-native telecom environments.
Models subscriber data flow threats across distributed network architectures — identifying where data subject rights obligations, data minimisation requirements, and consent management architecture create regulatory risk.
Provides threat analysis evidence aligned to TRAI, Ofcom, and national security agency expectations for critical infrastructure security design — supporting regulatory examination with structured, methodology-compliant threat documentation.
Integrates with telecom DevOps and CI/CD programmes — providing threat modelling methodology and tooling appropriate for the deployment velocity of cloud-native network function development.

IT and ITES / SaaS Providers

Business & Cyber Challenges

SaaS providers carry security obligations for customer data that may be subject to multiple, sometimes conflicting regulatory frameworks — requiring threat analysis that addresses data protection by design across diverse customer contexts.
Multi-tenant architectures require formal trust boundary analysis to ensure tenant isolation is structurally sound — a category of architectural threat that cannot be reliably identified through penetration testing alone and that requires design-level threat modelling.
Enterprise customer security assessments and procurement questionnaires increasingly require evidence of threat modelling programmes — SaaS providers without documented threat model artefacts are disadvantaged in enterprise sales and renewal processes.
Microservices and API-first architectures create distributed security decision environments where configuration changes in one service can affect the security posture of dependent services — requiring systematic architectural threat analysis.

How Threat Modelling Helps

Delivers multi-tenant isolation threat analysis — identifying where SaaS architecture creates tenant data co-mingling risks, cross-tenant access pathways, or shared resource exploitation vectors that would violate customer trust and regulatory obligations.
Produces ISO 27017 and SOC 2 compatible threat model documentation that enterprise customer security assessments can review directly — converting security design maturity into a sales and retention enabler.
Models microservices API trust relationships systematically — identifying where service-to-service authentication weaknesses, privilege escalation opportunities, or data flow misconfigurations create architectural security risk.
Integrates threat modelling into SaaS development programmes — providing methodology, tooling, and security champion enablement that allows fast-moving product teams to conduct structured threat analysis within their existing workflows.

Government and Public Sector (eGov, Digital Identity, Smart Cities)

Business & Cyber Challenges

Government digital systems process citizen personal data with accountability obligations that extend beyond regulatory compliance — data breaches and security failures in public systems carry political and social consequences that private sector governance frameworks do not fully address.
Digital identity platforms and eGov portals handle authentication credentials and personal data for millions of citizens simultaneously — architectural security failures create risk at a scale that requires the most rigorous threat analysis available.
Smart city infrastructure combines physical-world consequence with digital attack surfaces — security failures in traffic management, utilities control, or emergency response systems have safety implications that standard application threat modelling must address with physical consequence analysis.
Government technology procurement processes have traditionally emphasised compliance documentation over security design substance — creating environments where threat modelling artefacts are produced for audit purposes rather than engineering guidance.

How Threat Modelling Helps

Applies citizen-scale threat analysis to digital identity and eGov architectures — addressing the authentication, authorisation, and data protection threats that arise when government systems serve millions of citizens with varying threat profiles.
Integrates physical consequence analysis for smart city infrastructure components — addressing threats whose materialisation would affect public safety rather than only information security, and producing requirements that reflect the full consequence spectrum.
Produces threat model documentation structured for government governance requirements — audit committee reporting, parliamentary accountability, and public interest transparency — reflecting the distinctive governance context of public organisations.
Delivers threat modelling methodology training for government technology teams — building internal capability that aligns with public sector procurement constraints and enables sustainable security design practice across the department.

Energy, Utilities and Critical Infrastructure

Business & Cyber Challenges

Cloud integration of operational technology — grid management systems, smart meter platforms, pipeline monitoring — creates IT/OT convergence architectures whose security implications require specialist threat modelling that addresses operational consequence alongside information security risk.
IEC 62443 security by design requirements impose structured threat analysis obligations on OT system developers and integrators — obligations that many energy sector organisations are meeting with generic security assessments rather than IEC 62443-compliant threat modelling.
Nation-state and sophisticated criminal threat actors specifically target energy infrastructure with advanced persistent threats designed to achieve physical consequence — requiring threat modelling that addresses APT techniques and kill chains beyond what standard corporate security frameworks anticipate.
Supply chain security risks in industrial control system environments are particularly consequential — component compromise or vendor access exploitation can affect operational technology with national-scale safety implications.

How Threat Modelling Helps

Applies IEC 62443 security by design methodology to OT and ICS architectures — addressing the safety, availability, and integrity consequences of threat scenarios that standard application threat modelling frameworks do not address.
Models IT/OT convergence threat scenarios — identifying where cloud management interface access creates pathways to operational technology, where data flows cross the IT/OT boundary without appropriate security controls, and where shared authentication creates unacceptable risk.
Addresses nation-state and APT threat techniques specifically relevant to energy infrastructure — mapping MITRE ATT&CK for ICS techniques to system components and providing security requirements calibrated for advanced persistent threat scenarios.
Produces NERC CIP and ISO 27019 compatible threat model documentation that regulatory examiners can review directly — reducing the compliance evidence overhead for energy organisations managing multiple regulatory frameworks simultaneously.

Transportation and Aviation (Airlines, Railways, Logistics)

Business & Cyber Challenges

Transportation systems combine passenger safety obligations, operational continuity requirements, and information security obligations in ways that require threat analysis integrating all three consequence dimensions — analysis that safety-focused frameworks and IT security frameworks separately do not provide.
Reservation systems, passenger data platforms, and operational management systems are interconnected with third-party systems across airlines, airports, ground handlers, and government border agencies — creating multi-party trust environments whose security implications require formal architectural analysis.
Aviation and railway cybersecurity regulatory frameworks — ICAO Annex 17, national aviation authority guidance — are introducing security by design requirements that structured threat modelling directly satisfies.
Logistics supply chain digitisation has introduced cloud connectivity across warehouse management, transport management, and last-mile delivery systems — creating distributed architectures with accumulated integration-related security risk.

How Threat Modelling Helps

Delivers multi-dimensional threat analysis addressing passenger safety, operational continuity, and information security within a unified framework — producing security requirements that reflect the full consequence spectrum of transportation system security failures.
Models multi-party integration trust relationships across the aviation and transport ecosystem — identifying where IAM design, API authentication, and data sharing architecture create trust boundary weaknesses between interconnected organisations.
Produces aviation and railway regulatory compliance documentation — aligned to ICAO Annex 17, applicable national authority guidance, and industry security frameworks — supporting regulatory examination and certification processes.
Applies logistics supply chain threat analysis methodology — identifying where digitised supply chain integrations create new attack surfaces and where architecture decisions distribute security risk across organisational boundaries.

Education and EdTech

Business & Cyber Challenges

EdTech platforms and educational institutions handle student data — including minors' information — under privacy obligations that impose particularly stringent data protection by design requirements and where regulatory breach consequences include reputational and commercial damage disproportionate to the size of the organisation.
Learning management systems, assessment platforms, and student information systems create complex architectures connecting educational institutions, students, parents, and third-party content providers — with trust boundary complexity that informal security review does not consistently address.
EdTech platforms developing AI-powered adaptive learning features, automated assessment tools, and personalisation engines introduce novel threat categories — model poisoning, training data extraction, adversarial manipulation — that standard application threat frameworks do not fully address.
Multi-institutional cloud deployments shared between universities, schools, and government education bodies create shared infrastructure security challenges where architectural decisions affect multiple organisations simultaneously.

How Threat Modelling Helps

Delivers data protection by design threat analysis for student data architectures — addressing GDPR, FERPA, In-country regulatory norms and guidelines, and COPPA obligations for minor data subjects with the structured evidence that supervisory authorities require.
Models AI system threats for adaptive learning and automated assessment platforms — addressing adversarial input manipulation, training data extraction, model integrity threats, and the data privacy implications of AI-powered personalisation.
Identifies cross-institutional trust boundary risks in shared platform deployments — providing architectural recommendations that protect each participating institution without imposing change management burdens that educational procurement processes cannot accommodate.
Provides threat modelling capability building for EdTech engineering teams — enabling iterative threat analysis as platform features evolve without requiring external engagement for every new system component.

Threat Landscape

Authentication and Session Management Threats

Threat/Challenge:

Authentication systems are the most consistently targeted component in application and system architectures — adversaries invest disproportionate effort in identifying authentication weaknesses because successful authentication attack provides the broadest access with the least subsequent activity.

Session management vulnerabilities — token predictability, insufficient expiry, insecure transmission, and inadequate revocation — allow adversaries to hijack authenticated sessions without requiring credential compromise, bypassing even well-designed authentication mechanisms.

How Threat Modelling Helps

Models all authentication flows in the system architecture — identifying where authentication decisions create trust boundary weaknesses, where credential transmission creates interception risk, and where session management design enables adversary exploitation.
Applies attack tree analysis to authentication bypass scenarios — mapping the specific sequences of steps through which session hijacking, credential stuffing, or authentication logic exploitation could achieve adversary objectives.
Produces specific authentication and session management security requirements calibrated to the system's specific threat environment — rather than generic OWASP checklist items that may not apply to the particular architecture.
Identifies where multi-factor authentication, certificate-based authentication, or adaptive authentication would materially reduce identified authentication threats relative to current design.

Authorisation and Privilege Escalation Vulnerabilities

Threat/Challenge:

Broken access control and authorisation failures represent the most consistently identified class of application vulnerabilities in security assessments — not because they are technically complex to prevent, but because authorisation logic distributed across microservices and API layers accumulates inconsistency that formal threat analysis identifies and informal review misses.

Horizontal privilege escalation — accessing another user's data without elevated privilege — and vertical privilege escalation — accessing functions or data beyond assigned role permissions — each require specific architectural design attention that threat modelling provides.

How Threat Modelling Helps

Maps the complete authorisation model across all system components — identifying where authorisation decisions are made, where they depend on data controllable by the principal being authorised, and where inconsistency between services creates exploitable gaps.
Applies STRIDE Elevation of Privilege analysis systematically across every trust boundary — identifying where privilege transitions occur without adequate validation and where privilege accumulation through legitimate-seeming action sequences creates unintended capability.
Identifies insecure direct object reference patterns, missing function-level access control, and mass assignment vulnerabilities at the architecture level before they are implemented in code.
Produces role-based access control and authorisation framework requirements grounded in the specific privilege model the system requires — enabling precise implementation rather than generic least-privilege guidance.

Data Exposure and Information Disclosure Risks

Threat/Challenge:

Sensitive data exposure represents a systemic risk category in modern application architectures — APIs return more data than client applications consume, logging systems capture sensitive values, error messages disclose implementation details, and data flows carry information beyond trust boundaries without adequate encryption.

STRIDE Information Disclosure threats manifest at every layer of the system architecture — in API responses, inter-service communication, storage configurations, logging systems, and cache implementations — requiring systematic analysis that component-level security review cannot provide at the required breadth.

How Threat Modelling Helps

Traces all data flows carrying sensitive information through the complete system architecture — identifying where sensitive data crosses trust boundaries without appropriate protection, is stored without encryption, is logged in recoverable form, or is returned to principals beyond their authorisation scope.
Identifies API over-exposure patterns where responses contain sensitive fields not required by consuming clients — a structural information disclosure risk that can be addressed in API design before implementation.
Maps logging configurations against data sensitivity classifications — identifying where current logging practice creates sensitive data exposure risk in log storage, aggregation platforms, and monitoring systems.
Produces data protection security requirements addressing each identified information disclosure pathway — with specific technical controls for encryption, masking, field filtering, and transmission security.

Input Validation and Injection Threats

Threat/Challenge:

Injection vulnerabilities — SQL injection, command injection, LDAP injection, template injection, and their modern equivalents in NoSQL, GraphQL, and ORM contexts — remain the highest-consequence preventable vulnerability class, and their persistence in production systems reflects the failure to identify and specify input validation requirements at the design stage.

Modern injection surfaces — GraphQL introspection, ORM-based query construction, server-side template rendering, and LLM prompt injection in AI-integrated systems — require threat modelling methodology that addresses these attack vectors specifically rather than applying legacy injection threat frameworks.

How Threat Modelling Helps

Identifies all user-controlled input pathways in the system architecture — web form inputs, API parameters, file uploads, import mechanisms, query construction interfaces, and indirect inputs through third-party data — providing the complete injection surface inventory.
Models injection threat scenarios for the specific query interfaces and processing frameworks the system uses — addressing the actual injection surfaces present in the architecture rather than applying generic injection threat catalogues.
Addresses LLM prompt injection threats for AI-integrated components — identifying where user-controlled inputs are concatenated into prompts, where prompt injection could manipulate system behaviour, and where output handling creates secondary injection surfaces.
Produces input validation and output encoding security requirements precisely scoped to each identified injection surface — enabling implementation teams to address the specific threat rather than applying generic validation frameworks.

Third-Party and Supply Chain Security Threats

Threat/Challenge:

Software supply chain attacks — targeting build systems, CI/CD pipelines, package managers, and third-party APIs — have become among the most consequential security threat categories, with incidents like SolarWinds, Codecov, and XZ Utils demonstrating that supply chain compromise can affect security posture without any direct adversary contact with the primary system.

Third-party API integrations introduce trust relationships whose security implications are rarely formally analysed — organisations typically assess third parties through questionnaire processes that evaluate policy compliance rather than architectural threat analysis of what specific access is granted and what the security implications of that access are.

How Threat Modelling Helps

Models supply chain threat scenarios for build pipelines, package dependencies, and deployment infrastructure — identifying where adversary compromise of a supply chain component would affect system integrity, data confidentiality, or operational availability.
Analyses third-party API integration trust relationships — identifying precisely what access is granted to each external party, what data flows to and from each integration, and what the security consequence of third-party compromise would be.
Produces supplier security requirements grounded in specific threat analysis — enabling organisations to communicate concrete security expectations to third parties rather than applying generic vendor questionnaire processes.
Identifies architectural patterns that reduce supply chain blast radius — component isolation, minimal permission grants, integrity validation, and runtime monitoring — as security requirements for build and deployment architecture.

Denial of Service and Availability Threats

Threat/Challenge:

Availability threats in modern digital systems extend beyond volumetric DDoS attacks to include resource exhaustion through application-layer abuse, algorithmic complexity attacks against processing-intensive functions, and dependency failure through single-point-of-failure architecture — categories that network-level DDoS protection does not address.

Business logic availability threats — where legitimate-seeming requests consume disproportionate server resources, exploit caching inefficiencies, or trigger expensive downstream operations — require system-specific threat analysis that can only be conducted with knowledge of the system's architectural design.

How Threat Modelling Helps

Identifies resource-intensive processing functions, expensive database operations, and API endpoints with asymmetric cost profiles — the specific availability threat surfaces that application-layer denial of service exploits.
Models dependency failure scenarios — identifying where single third-party service dependencies, single cloud availability zone reliance, or synchronous API chains would cause availability failure under degraded conditions.
Addresses rate limiting architecture, circuit breaker design, graceful degradation, and async processing patterns as security requirements for identified availability threats.
Produces availability security requirements calibrated to the system's business availability obligations — distinguishing between availability controls appropriate for best-effort systems and those required for critical-availability services.

API Security and Integration Threats

Threat/Challenge:

API security has emerged as the dominant application security challenge for modern organisations — with OWASP's API Security Top 10 documenting threat categories including broken object level authorisation, excessive data exposure, lack of resources and rate limiting, and server-side request forgery that are specific to API architectures and require API-specific threat analysis.

GraphQL APIs, webhook integrations, API gateways, and microservices communication patterns each introduce distinct threat surfaces that require architectural threat analysis methodology calibrated to the specific API technology rather than generic web application threat frameworks.

How Threat Modelling Helps

Applies OWASP API Security Top 10 analysis to all API components — identifying object-level authorisation gaps, data exposure risks, rate limiting weaknesses, and server-side request forgery vulnerabilities at the design stage.
Models GraphQL-specific threats — query introspection abuse, batching attacks, query depth exploitation, and resolver injection — for architectures using GraphQL as their API layer.
Identifies API gateway misconfiguration risks — authentication bypass, path traversal, request smuggling — that affect all downstream microservices simultaneously and require gateway-level threat analysis.
Produces API security requirements addressing each identified API threat category — with technology-specific implementation guidance for REST, GraphQL, gRPC, and webhook architectures.

Infrastructure and Cloud Configuration Threats

Threat/Challenge:

Cloud and infrastructure configuration threats — IAM over-permissioning, insecure default configurations, missing encryption, exposed management interfaces — represent the technical realisation of architectural trust boundary weaknesses that threat modelling identifies and addresses at the design stage.

Infrastructure-as-code creates a category of configuration threat where security misconfigurations are encoded in templates that deploy at scale — making threat analysis of IaC and deployment configurations a necessary component of architectural security review for any organisation using automated infrastructure provisioning.

How Threat Modelling Helps

Models cloud architecture trust boundary threats — identifying where IAM configurations create over-privilege, where management interface exposure creates direct compromise risk, and where network configuration weaknesses create lateral movement pathways.
Analyses IaC template security — identifying security misconfigurations that would be deployed at scale through Terraform, CloudFormation, or Bicep provisioning, and producing security requirements for IaC policy guardrails.
Identifies shared responsibility boundary gaps — where organisations assume cloud provider security covers threats that actually fall within customer responsibility — and produces security requirements addressing identified gaps.
Produces infrastructure security requirements grounded in identified architectural threats — enabling security engineering teams to implement preventive controls before infrastructure is provisioned rather than after misconfigurations have been deployed.

Cryptographic Weakness and Key Management Threats

Threat/Challenge:

Cryptographic failures in modern applications are rarely failures of algorithm selection — organisations using deprecated ciphers are exceptional. More commonly, cryptographic weaknesses arise from implementation errors: inadequate entropy, insecure key storage, missing certificate validation, improper TLS configuration, and key management processes that create exposure through human or operational failure.

Key management architecture — where cryptographic keys are stored, how they are rotated, who has access to them, and what the consequence of key compromise would be — requires formal threat analysis that maps key access against attacker capability and business consequence.

How Threat Modelling Helps

Maps the complete cryptographic control landscape — encryption at rest, encryption in transit, key management, certificate infrastructure — against the data sensitivity classifications and identified adversary capabilities to assess adequacy.
Models key compromise scenarios — identifying what data or functionality would be compromised if each category of cryptographic key or certificate were obtained by an adversary, and producing key management security requirements calibrated to that consequence.
Addresses TLS configuration threats — protocol version enforcement, certificate validation, HSTS, certificate pinning — as specific security requirements grounded in identified transmission interception threats.
Produces cryptographic security requirements addressing implementation-level risks — entropy sources, key derivation functions, secure random number generation, and operational key protection — that algorithm-selection security guidelines do not address.

Insider Threats and Privileged Access Misuse

Threat/Challenge:

Insider threat represents a distinct threat profile that requires specific architectural attention — insiders operate through legitimate access mechanisms, have knowledge of system internals that external adversaries must acquire, and can cause damage through omission, misconfiguration, or intentional misuse that external security controls are not designed to prevent.

Privileged access misuse — administrative credential abuse, DBA direct database access, DevOps pipeline manipulation — represents one of the most consequential and consistently underanalysed threat scenarios in system architecture, because threat models focused on external adversaries systematically underrepresent the risk that trusted principals with legitimate access represent.

How Threat Modelling Helps

Applies specific insider threat scenarios to privileged access architectures — modelling what damage a malicious administrator, compromised DevOps engineer, or disgruntled database operator could accomplish against current access control and monitoring architecture.
Identifies where privileged access monitoring gaps would prevent detection of insider misuse — producing logging, alerting, and audit trail security requirements that specifically address the detection of privileged access abuse.
Produces privilege management security requirements — just-in-time access, privileged access workstations, session recording, four-eyes approval — calibrated to the specific insider threat scenarios identified for the system.
Addresses the accountability gaps in privilege-sensitive operations — identifying where actions of significant consequence can be performed without creating an auditable record attributable to a specific individual.

BLOGS & ARTICLES

Our blogs and industry articles provide actionable insights, helping enterprises navigate threat modelling

challenges, evolving adversary techniques, and emerging security architecture governance trends

Banking & Financial Services / FinTech / Insurance

Open Banking API Threat Modelling: The Trust Boundary Analysis That FinTech Architects Are Missing

Read Further

IT / ITES / SaaS / Telecom

Threat Modelling Integration: Building Threat Analysis Into Sprint Planning Without Slowing Down Engineering Teams

Read Further

Healthcare & HealthTech

Medical Device Threat Modelling: What FDA Cybersecurity Guidance Requires That Most Manufacturers Are Not Currently Providing

Read Further

Industry Infrastructure & Production / E-Commerce

Industry 4.0 Threat Modelling: How IT/OT Convergence Creates Attack Paths That Neither IT Security Nor OT Safety Analysis Sees Across the Boundary

Read Further

SERVICE FEATURES AND DELIVERY FRAMEWORK

Asking the right questions is the first step toward security; our FAQs

deliver clear, concise, and practical guidance for clients

What is Threat Modelling?

A: It is a structured, methodology-driven process that analyses digital system architectures to identify threats, enumerate attack paths, evaluate existing security controls, and produce prioritised security requirements — before design is finalised and implementation is committed. It applies adversary-perspective analysis to system architecture to find security weaknesses at the point where they are cheapest and most effective to address.

How is structured threat modelling different from penetration testing?

A: Penetration testing finds vulnerabilities in implemented systems. Threat modelling identifies architectural security risks before implementation — analysing how adversaries could exploit the system's design to compromise confidentiality, integrity, or availability. The two are complementary: threat modelling informs secure design; penetration testing validates implementation. Organisations that run penetration testing without prior threat modelling consistently generate findings that structural analysis would have prevented.

Why do organisations need external threat modelling if their engineers already think about security?

A: Security-conscious engineering teams apply the knowledge and adversarial perspective they have — which means architectural threats outside their direct experience are systematically underrepresented. External threat modelling brings cross-sector adversary intelligence, structured methodology, and the independent perspective that produces findings internal analysis consistently misses — particularly in areas of trust boundary design, supply chain threats, and novel attack techniques.

How often should threat modelling be conducted?

A: At minimum for every significant new system or major architectural change. For actively developed systems, threat modelling integrated into design processes — sprint-level for features, formal engagement for major architectural components — provides continuous coverage. For organisations in dynamic threat environments or under heightened regulatory scrutiny, recurring formal reviews are advisable alongside continuous internal practice.

Is threat modelling disruptive to development timelines?

A: Conducted at the design stage, threat modelling accelerates rather than disrupts development — because security requirements are defined before implementation rather than after testing. The disruption associated with security comes from addressing vulnerabilities discovered in production or during penetration testing. Threat modelling moves security discovery and resolution to the phase where it is cheapest and fastest to address.

What methodologies are applied?

A: STRIDE for systematic threat categorisation across DFD elements, MITRE ATT&CK for adversary-grounded technique mapping, PASTA for risk-centric business context alignment, LINDDUN for privacy threat analysis, OWASP Threat Modelling Manifesto and ASVS for application security requirements, NIST SP 800-30 for risk rating, and IEC 62443 security by design for OT components — applied in combination calibrated to the specific system type and threat environment.

What system types can be threat modelled?

A: Web applications, mobile applications, APIs and microservices architectures, cloud-native systems, SaaS platforms, AI and ML systems, operational technology and industrial control systems, IoT architectures, and hybrid IT/OT environments. The methodology is adapted to the specific architectural characteristics and threat profile of each system type.

How are threats rated and prioritised?

A: Likelihood and impact rating scales are agreed with the client before analysis begins — calibrated to the specific system context, asset sensitivity, and threat environment. Threats are rated using DREAD-derived or CVSS-comparable scoring frameworks, cross-referenced against business impact to enable governance-level communication. Prioritisation sequences threats by the risk reduction their associated security requirements would deliver per unit of engineering effort.

How is control effectiveness evaluated?

A: Through architectural review of control design, documentation analysis, and where feasible within engagement scope, operational testing — with effectiveness credit granted only where controls demonstrably reduce identified threats in the actual system implementation. Controls that exist in policy but whose operational effectiveness is uncertain receive partial credit or are flagged for validation testing.

Can AI and LLM systems be threat modelled?

A: Yes. AI and ML system threat modelling is a specific service capability — addressing adversarial machine learning threats (model poisoning, adversarial inputs, model extraction), LLM-specific threats (prompt injection, indirect prompt injection, training data extraction), and the trust boundary and data flow threats introduced by AI system integrations. This requires methodology extending beyond standard application threat frameworks.

Which compliance frameworks does threat modelling address?

A: PCI DSS v4.0 Requirement 6.3.2 explicit threat modelling obligations, ISO 27001 Annex A secure development controls, NIST RMF threat assessment requirements, NIST SP 800-30 risk assessment process, GDPR Article 25 data protection by design, India's In-country regulatory norms and guidelines FDA cybersecurity guidance for medical devices, IEC 62443 security by design, OWASP ASVS verification requirements, and in country regulatory norms and guidelines security design guidance.

Is formal threat modelling mandatory for regulatory compliance?

A: Yes for a growing range of organisations — PCI DSS v4.0 Requirement 6.3.2 makes threat modelling mandatory for cardholder data environment systems; FDA cybersecurity guidance references threat modelling as expected evidence in medical device pre-market submissions; IEC 62443 security by design requirements apply to OT systems; and GDPR Article 25 data protection by design obligations require privacy threat analysis for high-risk processing activities.

Will the deliverables be suitable for regulatory submission?

A: Yes. Deliverables include documentation structured for QSA assessment, ISO 27001 certification audit, FDA pre-market cybersecurity submission, and supervisory authority examination — formatted to meet the evidence standards external assessors apply rather than internal documentation norms.

How does threat modelling address GDPR data protection by design obligations?

A: LINDDUN privacy threat analysis and data flow mapping produce documentation that demonstrates Article 25 compliance — identifying privacy threats at the design stage, evaluating control adequacy, and producing privacy engineering requirements. The output is structured to serve as DPIA-compatible threat documentation for high-risk personal data processing activities.

How is client confidentiality maintained during the engagement?

A: NDAs, data handling agreements, and access authorisation frameworks are executed before engagement commencement. Architecture documentation, system access, and findings are treated as confidential client material throughout the engagement and are not disclosed outside the agreed distribution list under any circumstances.

What does a typical threat modelling engagement involve?

A: Scoping and criteria calibration, architecture documentation collection, stakeholder interviews, DFD construction or validation, STRIDE and ATT&CK threat enumeration, control evaluation and gap analysis, risk rating and prioritisation, security requirements generation, compliance mapping, executive and technical reporting, findings walkthrough, backlog integration support, and optional implementation advisory.

How long does a threat modelling engagement typically take?

A: Typically two to four weeks for a focused system or component engagement, four to six weeks for a comprehensive enterprise system, and longer for multi-system portfolio engagements. Duration depends on system complexity, scope breadth, and stakeholder availability for architecture walkthrough sessions.

What deliverables does the engagement produce?

A: Executive threat summary, technical threat model report with complete DFDs and threat register, security requirements backlog in engineering-ready format, compliance mapping matrix for applicable frameworks, and optionally threat modelling process documentation and security champion training materials for ongoing programme development.

Do you provide support during security requirement implementation?

A: Yes. Implementation advisory is available throughout the security requirement development phase — including architecture consultation, security requirement clarification, control design guidance, and progress review sessions. Reassessment to verify security requirement implementation is available upon client request.

Can threat modelling be integrated with our existing DevSecOps programme?

A: Yes. The engagement is designed to complement and strengthen existing security practices — integrating with code review, SAST/DAST tooling, penetration testing scopes, and security champion programmes. Threat model outputs inform testing priorities and code review focus areas, ensuring existing security investment is directed at the highest-priority identified threats.

How does threat modelling benefit our organisation beyond compliance?

A: Beyond compliance, threat modelling enables better architecture decisions through specific threat visibility; more rational security investment allocation; faster, less expensive security remediation because requirements are defined before implementation; improved penetration testing ROI through threat-informed scope direction; stronger security certification and enterprise customer trust; and the development team capability that sustains secure-by-design practice without external dependency.

How do you ensure findings are actionable for engineering teams?

A: Every security requirement includes a threat traceability reference, component scope specification, technical implementation guidance, and acceptance criteria. Requirements walkthrough sessions ensure engineering teams understand the specific threat each requirement addresses and can implement effectively without further clarification. Backlog-ready formatting eliminates the translation overhead that stops security analysis from becoming security implementation.

What distinguishes Codec Networks' threat modelling from other providers?

A: Genuine methodology depth across multiple frameworks applied in combination; adversarial expertise grounded in cross-sector attack pattern knowledge; engineering-integrated output formatted for direct backlog integration; privacy threat analysis integrated alongside security threat analysis; multi-framework compliance documentation from a single engagement; and implementation advisory that bridges the gap between threat analysis and security engineering action.

How do you measure the success of a threat modelling engagement?

A: Through architecture decomposition completeness; validated threat identification rate across applicable categories; security requirement traceability and backlog acceptance; engineering team satisfaction with requirement clarity and actionability; compliance framework coverage achieved; and for repeat engagements, measurable improvement in the system's threat profile and control coverage between iterations.

Is threat modelling a one-time activity or an ongoing programme?

A: Both are appropriate for different circumstances. A single engagement for a specific system establishes a documented threat baseline and drives initial security requirement implementation. An ongoing programme — with continuous sprint-integrated analysis, formal reviews for major architectural changes, and recurring portfolio-level assessments — provides the continuously current threat analysis that actively developed systems and demanding regulatory obligations require.

GENERAL UNDERSTANDING OF THE SERVICE

What is Threat Modelling?

How is structured threat modelling different from penetration testing?

Why do organisations need external threat modelling if their engineers already think about security?

How often should threat modelling be conducted?

Is threat modelling disruptive to development timelines?

TECHNICAL ASPECTS OF THE SERVICE

What methodologies are applied?

What system types can be threat modelled?

How are threats rated and prioritised?

How is control effectiveness evaluated?

Can AI and LLM systems be threat modelled?

COMPLIANCE, LEGAL, AND REGULATORY

Which compliance frameworks does threat modelling address?

Is formal threat modelling mandatory for regulatory compliance?

Will the deliverables be suitable for regulatory submission?

How does threat modelling address GDPR data protection by design obligations?

How is client confidentiality maintained during the engagement?

SERVICE DELIVERY & METHODOLOGY

What does a typical threat modelling engagement involve?

How long does a threat modelling engagement typically take?

What deliverables does the engagement produce?

Do you provide support during security requirement implementation?

Can threat modelling be integrated with our existing DevSecOps programme?

BUSINESS VALUE & ROI

How does threat modelling benefit our organisation beyond compliance?

How do you ensure findings are actionable for engineering teams?

What distinguishes Codec Networks' threat modelling from other providers?

How do you measure the success of a threat modelling engagement?

Is threat modelling a one-time activity or an ongoing programme?

Threat Modelling

Threat Modelling

SERVICE FEATURES AND DELIVERY FRAMEWORK

THREAT MODELLING - CODEC NETWORK’S INDUSTRY OFFERINGS

Foundation Tier

Enhanced Protection Tier

Enterprise Resilience Tier

Foundation Tier

Enhanced Protection Tier

Enterprise Resilience Tier

CODEC NETWORKS VALUE PROPOSITION

WHAT OUR CUSTOMERS SAY

Vijay

Deepak

Vijay

Deepak

INDUSTRY & SECURITY THREAT LANDSCAPE

INDUSTRY & SECURITY THREAT LANDSCAPE

Industry Landscape

Threat Landscape

BLOGS & ARTICLES

Open Banking API Threat Modelling: The Trust Boundary Analysis That FinTech Architects Are Missing

Threat Modelling Integration: Building Threat Analysis Into Sprint Planning Without Slowing Down Engineering Teams

Medical Device Threat Modelling: What FDA Cybersecurity Guidance Requires That Most Manufacturers Are Not Currently Providing

Industry 4.0 Threat Modelling: How IT/OT Convergence Creates Attack Paths That Neither IT Security Nor OT Safety Analysis Sees Across the Boundary

SERVICE FEATURES AND DELIVERY FRAMEWORK

Zero-Day Vulnerability Exploitation Testing

CI/CD Pipeline Security Testing (DevSecOps Integration)

Supply Chain Security Testing

Smart Contract Audits (Ethereum, Solana, DeFi Protocols)

Thick Client/Desktop App Testing (Java, .NET, Electron)

Zero-Day Vulnerability Exploitation Testing

CI/CD Pipeline Security Testing (DevSecOps Integration)

Supply Chain Security Testing

Smart Contract Audits (Ethereum, Solana, DeFi Protocols)

Thick Client/Desktop App Testing (Java, .NET, Electron)

Threat Modelling

Threat Modelling

SERVICE FEATURES AND DELIVERY FRAMEWORK

THREAT MODELLING - CODEC NETWORK’S INDUSTRY OFFERINGS

Foundation Tier

Enhanced Protection Tier

Enterprise Resilience Tier

Foundation Tier

Enhanced Protection Tier

Enterprise Resilience Tier

CODEC NETWORKS VALUE PROPOSITION

WHAT OUR CUSTOMERS SAY

Vijay

Deepak

Vijay

Deepak

INDUSTRY & SECURITY THREAT LANDSCAPE

INDUSTRY & SECURITY THREAT LANDSCAPE

Industry Landscape

Threat Landscape

BLOGS & ARTICLES

Open Banking API Threat Modelling: The Trust Boundary Analysis That FinTech Architects Are Missing

Threat Modelling Integration: Building Threat Analysis Into Sprint Planning Without Slowing Down Engineering Teams

Medical Device Threat Modelling: What FDA Cybersecurity Guidance Requires That Most Manufacturers Are Not Currently Providing

Industry 4.0 Threat Modelling: How IT/OT Convergence Creates Attack Paths That Neither IT Security Nor OT Safety Analysis Sees Across the Boundary

SERVICE FEATURES AND DELIVERY FRAMEWORK

Zero-Day Vulnerability Exploitation Testing

CI/CD Pipeline Security Testing (DevSecOps Integration)

Supply Chain Security Testing

Smart Contract Audits (Ethereum, Solana, DeFi Protocols)

Thick Client/Desktop App Testing (Java, .NET, Electron)

Zero-Day Vulnerability Exploitation Testing

CI/CD Pipeline Security Testing (DevSecOps Integration)

Supply Chain Security Testing

Smart Contract Audits (Ethereum, Solana, DeFi Protocols)

Thick Client/Desktop App Testing (Java, .NET, Electron)

Inquire Now