Who is accountable for medical device cybersecurity in healthcare?

Why This Matters for Security Teams

Medical device cybersecurity is not a single-owner problem because risk is distributed across design, deployment, connectivity, and clinical use. Manufacturers are expected to ship safer products, but hospitals control configuration, network exposure, patch timing, and monitoring. Regulators set minimum expectations, yet daily accountability lives in local workflows. That is why device security often fails at the seam between product security and operational security.

NHIMG’s Ultimate Guide to NHIs — Why NHI Security Matters Now notes that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, a reminder that connected devices depend on machine identities just as much as software does. For healthcare teams, that means a pump, monitor, imaging platform, or gateway can become a credentialed attack path if its access is not governed like any other privileged workload. Current guidance from CISA cyber threat advisories also reinforces that medical technology must be managed as part of a broader cyber-physical risk surface. In practice, many security teams encounter device compromise only after a vendor callback, a failed update, or an alert from operations, rather than through intentional lifecycle governance.

How Accountability Should Be Divided Across the Device Lifecycle

The clearest way to assign accountability is by lifecycle stage. Manufacturers should be accountable for secure design, software bill of materials quality, vulnerability disclosure, patch availability, and hardening guidance. Healthcare organisations should be accountable for asset inventory, segmentation, access control, credential management, logging, and safe decommissioning. Clinicians and biomedical staff should be accountable for approved use, local exception handling, and escalation when a device behaves unexpectedly.

This division is consistent with the practical lessons in The 52 NHI breaches Report, which shows how often machine credentials and service accounts become the real failure point. Even when the clinical device is the visible asset, the control problem is often the identity behind it, not the hardware itself. A strong governance model therefore maps ownership to specific tasks: procurement verifies security requirements, IT enforces connectivity policy, security monitors anomalous behavior, and clinical engineering validates that compensating controls do not interfere with patient care.

• Manufacturers provide secure-by-design defaults, update mechanisms, and coordinated vulnerability response.
• Hospitals maintain an accurate inventory of connected devices and their supporting accounts.
• Security teams monitor device traffic, certificates, remote access, and unusual authentication patterns.
• Operational owners approve exceptions, review clinical impact, and retire unsupported systems.

For implementation detail, many teams pair device governance with the control lessons in the Top 10 NHI Issues, because shared accountability breaks down fastest when secrets are static, visibility is partial, and patching depends on informal coordination. These controls tend to break down in mixed-vendor hospital environments because legacy devices, clinical uptime requirements, and vendor-maintained remote access create overlapping ownership and delayed remediation.

Common Variations and Edge Cases

Tighter accountability often increases operational overhead, requiring organisations to balance patient safety, uptime, and vendor access against stricter control enforcement. That tradeoff becomes more visible in edge cases such as legacy devices that cannot support modern authentication, cloud-connected diagnostics, and third-party service tools that rely on persistent credentials.

There is no universal standard for this yet, but current guidance suggests three practical patterns. First, if a device is vendor-managed, the hospital still owns the local exposure, while the vendor owns the security of the software and support channel. Second, if a device uses shared service accounts, those accounts should be treated as privileged non-human identities and governed accordingly. Third, if a device cannot be patched promptly, the compensating control should be explicit: segmentation, restricted admin paths, and continuous monitoring rather than informal acceptance of risk.

NHIMG’s Ultimate Guide to NHIs — Key Challenges and Risks is useful here because it frames the broader operational problem: device cybersecurity is often defeated by weak identity lifecycle control, not by a lack of policy language. For teams building a governance model, the practical question is not who is “the owner” in the abstract, but who can approve a change, revoke access, detect misuse, and accept residual risk in real time.

Related resources from NHI Mgmt Group

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• How should healthcare organisations prioritise cybersecurity when staffing is limited?