Who should own identity governance for medical devices and service accounts in healthcare?

Identity governance for medical devices and service accounts should be shared, but not diffuse. Security, IAM, infrastructure, and clinical operations all have a role, yet one team must own visibility, policy enforcement, and exception handling. Without clear accountability, legacy device access remains fragmented, undocumented accounts persist, and no one is responsible when a device or service credential is misused.

Why Identity Governance Ownership Has to Be Explicit

Healthcare environments expose a simple governance problem: medical devices and service accounts often outlive the team that deployed them. The right owner is usually a shared operating model, but one accountable function must control inventory, policy, and exceptions so that legacy access does not become invisible. If ownership is vague, device credentials linger, service accounts multiply, and no team can prove who approved access or who should revoke it.

That accountability needs to sit close to enterprise security and identity governance, with IAM and infrastructure executing the process and clinical or biomedical operations supplying context on device criticality and maintenance windows. The key distinction is between participation and ownership. Clinical teams know how the device is used, but they should not be the only place where identity decisions live. In practice, unclear ownership is usually discovered after an audit finding or a credential incident, not during routine operations.

Healthcare programmes that want repeatable control should treat identity governance as a managed service, not a committee. The most effective model is one team that can see all machine and service identities, enforce policy, and escalate exceptions, while other teams supply operational constraints and business justification.

How It Works in Practice

Ownership works best when the governance function has authority over the full lifecycle, from onboarding to rotation to retirement. For medical devices, that means knowing which assets authenticate, what they authenticate to, whether default or shared credentials still exist, and whether the identity can be rotated without breaking clinical service. For service accounts, it means tying each account to a business service, a technical owner, a renewal date, and a revocation path.

A practical operating model usually includes:

Central visibility: one inventory of devices, scripts, integrations, and accounts that can authenticate.
Policy enforcement: standards for naming, least privilege, rotation, MFA where feasible, and prohibited shared use.
Exception handling: a documented path for legacy devices, vendor-managed systems, and immovable clinical platforms.
Operational coordination: clinical engineering, infrastructure, and IAM agree on maintenance windows and break-glass procedures.

Where this becomes real is in change control. If a device cannot support modern credential rotation, the owner should be forced to decide whether to isolate it, compensate with compensating controls, or accept the residual risk. Similarly, a service account without a named system owner should be treated as unfinished governance work, not as an accepted operational detail. The point is not to centralise every action, but to centralise the decision rights that keep ownership visible and enforceable.

NIST Cybersecurity Framework 2.0 is useful here because it reinforces governance, asset visibility, and control accountability across the lifecycle. For identity-specific control design, NIST SP 800-53 Rev 5 Security and Privacy Controls gives a more operational control baseline for access, auditability, and configuration discipline.

These controls tend to break down when biomedical engineering, application owners, and security each assume another team owns credential cleanup after deployment.

Common Variations and Edge Cases

Tighter ownership often increases coordination overhead, so organisations have to balance speed against assurance. That trade-off is most visible with vendor-managed devices, emergency clinical systems, and legacy platforms that cannot easily support modern identity controls.

Some environments need a split model. A hospital may allow clinical engineering to own device function and uptime, while IAM owns the identity record, rotation policy, and revocation authority. That division is healthy when it is explicit. It becomes dangerous when each side assumes the other will handle dormant accounts, certificates, or shared passwords.

Another edge case is centralised service-account management for many applications. Current guidance suggests that shared tooling should still preserve one accountable owner per account, even when the operational work is done by infrastructure or platform teams. The absence of a visible business or technical owner is the signal to pause, not to proceed because the account has “always worked.”

Ultimate Guide to NHIs, Lifecycle Processes for Managing NHIs is helpful when teams need a lifecycle lens for onboarding, rotation, and retirement decisions. For governance maturity and the business impact of weak visibility, The 2024 ESG Report: Managing Non-Human Identities shows that 72% of organisations have experienced or suspect a breach of non-human identities, which is a strong reminder that ownership failures rarely stay theoretical.

In practice, the hardest cases are not the modern platforms, but the old devices and long-lived service accounts that remain in production because nobody has clear authority to retire them.

Risk and Threat Considerations

Shared ownership without a single accountable control point creates governance risk, access sprawl, and weak revocation discipline. In healthcare, that matters because device and service credentials often support critical workflows, third-party maintenance, and integrations that are hard to inspect after deployment.

Failure mechanism: attackers and internal misuse both benefit from dormant accounts, shared passwords, over-privileged service identities, and undocumented device access paths. When no owner can confidently inventory or revoke those credentials, compromise can persist longer and spread farther than the original access path suggests.

Impact: the likely outcome is not just policy noncompliance, but loss of control over authenticated access to clinical systems, delayed detection of misuse, and higher blast radius if a device credential or service account is abused.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

NIST CSF 2.0, CIS Controls v8 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.

Framework	Control / Reference	Relevance
NIST CSF 2.0	GV — Governance	Healthcare identity ownership needs clear governance and accountability.
Recommendation — Define accountable ownership for device and service-account governance.
CIS Controls v8	6 — Access Control Management	Service accounts and device credentials require disciplined access governance.
Recommendation — Inventory and remove unnecessary access for devices and service accounts.
NIST SP 800-53 Rev 5	AC-2 — Account Management	Named ownership and lifecycle control map directly to account governance.
Recommendation — Assign owners and lifecycle rules for every service account.

Practitioner Guidance

What to prioritise: assign one accountable governance owner for the identity record, the policy, and the exception queue, then separate that from operational executors. If no one can name the approver for rotation failures or legacy exceptions, the ownership model is not ready.

What to verify: every medical device and service account should have a named owner, a business purpose, a renewal or review date, and a revocation path. Confirm that vendor access, break-glass use, and shared accounts are all covered by the same inventory, not by separate spreadsheets.

Practitioner takeaway: The right model is shared execution with single-point accountability, because healthcare identity governance fails when responsibility is distributed but decision rights are not.