Introduction

The Device Monitoring Gap That Healthcare Organisations Cannot Ignore

Healthcare environments operate one of the most complex and sensitive technology ecosystems of any industry. They combine traditional IT infrastructure with a vast network of specialised medical devices that are essential for patient care and clinical operations. These devices include infusion pumps, imaging systems, patient monitoring equipment, ventilators, laboratory machines, and communication platforms, all interconnected to support real-time diagnostics and treatment delivery.

Unlike standard IT assets such as servers and workstations, medical devices are built on specialised operating systems, often with limited processing power and strict regulatory controls that restrict any modification. This makes them fundamentally incompatible with traditional security monitoring approaches that rely on installing agents or collecting standard telemetry.

This incompatibility creates a significant and often overlooked visibility gap. Most medical devices cannot support endpoint agents because their software environments are locked, their performance cannot handle additional processes, and modifying them could disrupt clinical workflows or violate regulatory requirements. As a result, they do not generate the telemetry required by traditional detection systems and are often excluded from SIEM pipelines due to limited or incompatible logging capabilities. From a security perspective, these devices operate in a blind spot, even though they are deeply integrated into critical healthcare workflows.

Key characteristics of this monitoring gap include:

• Inability to deploy endpoint agents on medical devices
• Limited or non-standard logging capabilities
• Exclusion from traditional SIEM visibility
• Heavy integration into critical clinical workflows despite lack of monitoring

The scale of this issue is considerable. In many healthcare environments, medical devices outnumber traditional IT endpoints and continuously generate network traffic. They interact with electronic health record systems and central management platforms, forming a critical part of the operational ecosystem. However, despite their importance, they remain largely invisible to conventional security tools. This imbalance creates a structural weakness where the most critical systems are also the least monitored, increasing overall risk exposure.

Why Invisible Medical Devices Are an Active Threat Surface

The lack of visibility into medical device activity does not just limit monitoring—it actively expands the attack surface within healthcare environments. Attackers are increasingly aware of this gap and exploit it as part of their strategies. Medical devices offer unique opportunities for lateral movement, persistence, and disruption due to their connectivity and operational constraints.

These devices often act as bridges between clinical and IT networks, exchanging data with multiple systems and creating pathways that attackers can exploit. An attacker who gains access to a workstation can move into connected devices, while a compromised device can serve as a pivot point back into IT systems. This bidirectional movement significantly increases attack complexity and risk.

Major risk factors associated with medical devices include:

• Connectivity between clinical and IT network segments
• Use as pivot points for lateral movement
• Limited patching and update capabilities
• Extended exposure to known vulnerabilities

Another major concern is vulnerability management. Medical devices frequently run outdated software because updates must be carefully validated and approved to ensure patient safety. This leads to long periods where known vulnerabilities remain unpatched, providing attackers with ample opportunities to exploit them.

Ransomware attacks highlight the severity of this issue. By targeting medical devices, attackers can disrupt essential clinical operations, rendering equipment unusable and increasing pressure on healthcare organisations to respond quickly. The impact goes beyond financial damage, potentially affecting patient care and safety. In such cases, the inability to monitor device behaviour means that attacks are often detected only after significant disruption has occurred.

The Limitations of Traditional Security Monitoring in Healthcare

Traditional security monitoring systems are designed for environments where assets can generate detailed telemetry and support endpoint agents. These systems depend on logs, alerts, and event data to detect threats. However, in healthcare environments, a large portion of assets—medical devices—does not conform to this model.

Medical devices do not produce standard logs, cannot run detection software, and often communicate using proprietary protocols that traditional tools cannot easily interpret. This results in a fragmented view of the environment, where security teams may have strong visibility into IT systems but little to no insight into device behaviour.

Key limitations of traditional monitoring include:

• Dependence on endpoint agents and standard telemetry
• Inability to interpret proprietary device protocols
• Fragmented visibility across IT and clinical systems
• Lack of context for device-related activity

The complexity of healthcare networks further complicates detection. Devices are distributed across departments, connected to multiple systems, and managed by different teams. Maintaining an accurate inventory and understanding normal device behaviour is challenging, making it difficult to establish behavioural baselines. Without these baselines, even unusual activity may go unnoticed or be misinterpreted.

How XDR’s Agentless Approach Closes the Coverage Gap

Extended Detection and Response addresses this visibility challenge through an agentless monitoring approach that operates at the network level. Instead of installing software on devices, XDR passively observes network traffic to analyse behaviour. This allows monitoring without modifying devices, preserving both operational integrity and regulatory compliance.

By analysing network flows, XDR can identify devices, map communication patterns, and establish behavioural baselines. It tracks which systems devices interact with, how frequently communication occurs, and what protocols are used. Over time, this creates a detailed behavioural profile for each device.

Core capabilities of this approach include:

• Passive network-based monitoring without device modification
• Behavioural baseline creation for each device
• Identification of communication patterns and anomalies
• Protocol inspection for deeper context

When deviations occur—such as unexpected connections or unusual traffic patterns—XDR flags them as anomalies. Protocol inspection adds further context by analysing the nature of communications, enabling detection even in environments with limited telemetry. This approach extends visibility to previously unmonitored assets, ensuring comprehensive coverage without disrupting clinical operations.

Cross-Domain Correlation for Clinical Security Context

While network monitoring provides visibility, it must be combined with broader context to identify meaningful threats. XDR achieves this through cross-domain correlation, linking signals from network, endpoint, identity, and application layers.

This allows XDR to construct complete incident narratives across systems. For example, it can correlate a compromised workstation with unusual device activity and abnormal network patterns. Individually, these events may seem insignificant, but together they indicate a coordinated attack.

Benefits of cross-domain correlation include:

• Unified visibility across multiple system layers
• Ability to detect coordinated, multi-stage attacks
• Contextual understanding of device-related incidents
• Improved accuracy in threat detection

This holistic approach is essential in healthcare environments, where attacks often involve multiple interconnected systems and pathways. By connecting these signals, XDR enables more effective detection and response.

How Codec Networks Helps in This Area

Codec Networks delivers specialised XDR solutions designed specifically for healthcare environments, enabling organisations to achieve full visibility across both IT infrastructure and medical devices. Their approach leverages agentless monitoring to ensure security without interfering with clinical operations.

By combining behavioural analytics with cross-domain correlation, Codec Networks helps detect threats involving medical devices at an early stage. This ensures that healthcare organisations can maintain compliance, protect patient safety, and secure complex interconnected systems effectively.

Key Capabilities

1. Agentless Device Monitoring

• Enables monitoring without installing software on devices
• Preserves regulatory compliance and device integrity
• Ensures uninterrupted clinical operations

2. Behavioural Analytics

• Establishes baselines for device activity
• Detects deviations and anomalies in behaviour
• Identifies subtle indicators of compromise

3. Cross-Domain Correlation

• Connects device activity with endpoint, identity, and network data
• Builds complete incident narratives
• Enhances detection accuracy

4. Early Threat Detection

• Identifies threats before they impact clinical operations
• Reduces response time and potential damage
• Prevents escalation of attacks

5. Comprehensive Visibility

• Extends monitoring to previously unmonitored assets
• Covers both IT systems and medical devices
• Eliminates security blind spots

6. Healthcare-Focused Security

• Designed specifically for clinical environments
• Maintains balance between security and patient care
• Supports resilient and secure healthcare infrastructure

Conclusion

Healthcare security monitoring that excludes medical devices creates a critical visibility gap that exposes organisations to significant risk. Despite their importance in clinical operations, these devices often remain outside the scope of traditional security programmes due to technical and regulatory constraints. This lack of visibility allows attackers to exploit devices as entry points, pivot systems, and targets for disruption. Addressing this challenge requires a shift toward agentless monitoring and behavioural analysis that can operate across all connected assets without modifying them.

XDR provides this capability by extending visibility, correlating activity across domains, and identifying anomalies that indicate potential compromise. By enabling comprehensive monitoring without disrupting clinical workflows, XDR ensures that healthcare environments remain secure while continuing to support patient care and operational resilience.