IAM teams, security architects, and application owners should share accountability because device identity is now part of the access perimeter. When connected devices or APIs use long-lived credentials, the risk is not just technical debt, but governance drift. Treat those identities as first-class subjects in lifecycle and access reviews.
Why This Matters for Security Teams
In healthcare, device and API authentication is not just a technical control, it is a governance decision about who or what can initiate access to protected systems, telemetry, and patient-facing workflows. When connected devices, integration engines, and application APIs rely on long-lived secrets, accountability tends to blur across IAM, security architecture, clinical engineering, and application ownership. NHI Management Group’s Ultimate Guide to NHIs notes that 80% of identity breaches involved compromised non-human identities such as service accounts and api key.
The practical risk is that no single team sees the full lifecycle: issuance, rotation, monitoring, revocation, and exception handling. That gap is especially dangerous in healthcare programmes where uptime pressure can keep stale credentials alive long after a system change or vendor handoff. The NIST Cybersecurity Framework 2.0 makes ownership and control part of organisational governance, not an afterthought. In practice, many security teams encounter device and API authentication failures only after an integration outage or credential leak has already exposed the weakness in ownership.
How It Works in Practice
Accountability works best when it is shared but explicit. IAM teams usually own the authentication standards, token formats, and lifecycle controls. Security architects define the policy model, trust boundaries, and exception thresholds. Application owners and service owners are accountable for knowing which devices, APIs, and automation accounts their systems depend on, and for ensuring those identities are registered, reviewed, and retired.
In a healthcare programme, that typically means every connected device and API subject is treated as a first-class identity with a named owner, a business purpose, and a review cadence. The controls should cover:
- issuance of device certificates, API keys, or workload tokens with documented ownership
- rotation and revocation procedures tied to change management and vendor offboarding
- periodic access reviews that include non-human identities, not just employee accounts
- logging and alerting for abnormal use, expired credentials, and unused identities
- segregation between clinical, operational, and third-party integration credentials
Current guidance suggests using Zero Trust principles so authentication is evaluated continuously rather than assumed after initial login. The NIST Cybersecurity Framework 2.0 aligns well with this approach because it emphasises governance, asset visibility, and ongoing risk management. NHIMG’s research also shows why this matters operationally: only 20% of organisations have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them. That makes ownership indispensable, because without a named accountable party, authentication controls decay into undocumented exceptions. These controls tend to break down when device fleets are managed by one vendor and APIs are updated by another, because neither side owns the full identity lifecycle.
Common Variations and Edge Cases
Tighter credential governance often increases operational overhead, requiring organisations to balance stronger assurance against faster deployment and vendor constraints. That tradeoff is especially visible in healthcare, where legacy devices may not support modern token exchange, mTLS, or frequent secret rotation. In those cases, current guidance suggests compensating controls rather than pretending the risk is solved.
For example, where a medical device cannot support short-lived credentials, the accountable owner should document the exception, isolate the device network path, and define a hard retirement date. Where APIs are consumed by external partners, the business owner should share responsibility with IAM and security for credential provisioning, contract terms, and revocation on termination. Where there is no universal standard for this yet, best practice is to maintain a single authoritative register of non-human identities, owners, and renewal dates so accountability does not depend on tribal knowledge.
NHIMG’s Ultimate Guide to NHIs is useful here because it frames non-human identity as a lifecycle governance problem, not just a secrets-management problem. In practice, the edge cases are less about whether authentication exists and more about whether anyone is clearly responsible when it fails, expires, or is inherited during a merger, outsourcing event, or platform migration.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC, PR.AC | Healthcare auth accountability maps to governance and access control ownership. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Non-human identities need explicit ownership and lifecycle accountability. |
| NIST AI RMF | AI RMF governance principles support accountable identity decisions in automated systems. |
Assign named owners for device and API identities, then review their access and lifecycle controls routinely.
Related resources from NHI Mgmt Group
- Who is accountable when phishing-resistant authentication still leaves recovery gaps?
- What is the difference between role-based access and API key governance for NHI security?
- How should security teams govern API keys used for generative AI access?
- When does a short-lived API key still create material risk?
