How should healthcare teams govern connected medical device identity?

Why This Matters for Security Teams

Connected medical devices should not be treated as “just endpoints” because they often authenticate to clinical platforms, telemetry services, update channels, and third-party integrations with long-lived secrets or weak device-bound trust. That creates a patient-safety issue as much as an identity issue: once a device credential is abused, an attacker may manipulate data, disrupt care delivery, or pivot into adjacent systems. NHI Management Group research shows that 97% of NHIs carry excessive privileges, which is especially dangerous in regulated environments where device access is rarely reviewed with the same rigor as user access. The governance model therefore needs to map to lifecycle controls, not just network segmentation, as reflected in the Ultimate Guide to NHIs and the NIST Cybersecurity Framework 2.0.

For healthcare teams, the practical problem is that medical devices often outlive their original risk assumptions. A device may be provisioned safely in manufacturing, then inherit broader backend permissions after deployment, remain unrotated for years, and still be trusted after ownership changes or decommissioning gaps. In practice, many security teams encounter misuse of device identity only after a vendor update path is abused or a legacy device remains trusted long after clinical need has ended.

How It Works in Practice

Effective governance starts by treating each device as a distinct non-human identity with a traceable trust record. That record should bind the device to a known model, firmware baseline, owning department, clinical purpose, and revocation path. Current guidance suggests the device identity should be authenticated with cryptographic proof, not shared passwords, and should be issued with least privilege for the narrowest service set it actually needs. Where possible, teams should prefer workload-style identity patterns, such as certificate-based trust anchored in device attestation, so the backend can verify both who the device is and whether it is in a trusted state.

Operationally, this means governance across five checkpoints: manufacturing, staging, deployment, runtime access, and retirement. Device onboarding should define who can approve identity issuance, what secrets are injected, where keys are stored, and how rollback or revocation works if the device is recalled or compromised. At runtime, access should be limited by environment, function, and clinical context rather than static network location alone. The Lifecycle Processes for Managing NHIs section of the Ultimate Guide to NHIs is useful here because it frames rotation, offboarding, and auditability as lifecycle requirements rather than one-time setup tasks.

• Issue a unique identity per device, never per fleet unless the device class truly has no unique trust boundary.
• Use short-lived credentials or certificates where the platform supports them, with automated renewal and revocation.
• Separate device authentication from human administration so clinical staff do not inherit technical secrets.
• Log identity events centrally, including enrollment, rotation, failed authentication, and retirement.

Teams should also align device identity governance with biomedical engineering, procurement, and vendor management so trust is not granted only by IT. These controls tend to break down in heterogeneous hospital environments because legacy devices, vendor-managed update channels, and emergency clinical workflows create exceptions that are hard to standardize.

Common Variations and Edge Cases

Tighter device identity control often increases operational overhead, requiring healthcare organisations to balance patient safety against clinical uptime and vendor constraints. That tradeoff is especially visible with implanted devices, bedside equipment, and legacy systems that cannot support modern certificate rotation or per-device attestation. Best practice is evolving here, and there is no universal standard for every device class.

For managed service scenarios, the identity problem can shift from the device itself to the support channel. A vendor may need remote access for patching or diagnostics, but that does not justify permanent trust or broad backend permissions. In those cases, just-in-time approval, time-bound access, and full session logging are the safer pattern. Healthcare teams should also distinguish between device identity and operator identity: a technician logging into a console is not the same thing as the device proving its own integrity. That distinction is central to the Regulatory and Audit Perspectives guidance, and it matters when auditors ask who approved access, when it expires, and how revocation is enforced.

Finally, the riskiest edge case is retirement. Devices that are removed from service but remain authenticated in back-end systems create silent exposure, especially when inventory and identity records diverge. In practice, many healthcare teams discover this only during an incident review, not during planned offboarding.

Related resources from NHI Mgmt Group

• How do identity teams govern direct role changes made inside applications?
• How should security teams govern AI transformation across identity and access programmes?
• How should teams govern AI-assisted identity journeys without losing control?
• How should teams govern identity support workflows after a major breach trend?