They should extend the same lifecycle discipline to service accounts, API keys, tokens, and certificates. NHI access often persists longer than human access, so provisioning, review, rotation, and offboarding need explicit governance instead of informal ownership.
Why This Matters for Security Teams
IGA discipline translates directly to non-human identities, but the operating model has to be stricter because NHIs do not self-correct, ask for access changes, or leave the organisation. Service accounts, API keys, tokens, and certificates often persist across pipelines, cloud workloads, and third-party integrations long after the original use case changes. That creates a governance gap where access is technically valid but no longer justified.
The practical lesson from identity governance is to treat every NHI as a lifecycle object with an owner, purpose, expiry, and review cadence. That means provisioning must be tied to a business or technical use case, not a convenience request. It also means offboarding cannot depend on a human remembering to clean up a script or delete a token. The NIST Cybersecurity Framework 2.0 reinforces this lifecycle mindset through continuous identity and access management, while NHI research shows the problem is not theoretical: 71% of NHIs are not rotated within recommended time frames, and The State of Non-Human Identity Security ties weak rotation to real compromise patterns.
Teams that already run joiner-mover-leaver controls for humans should extend the same discipline to machines, but with shorter review cycles and stronger automation. In practice, many security teams encounter NHI sprawl only after a leaked secret, a dormant integration, or an over-privileged automation account has already been abused.
How It Works in Practice
The cleanest way to apply IGA lessons is to build a lifecycle record for each NHI that mirrors human identity governance, then automate the controls around it. Start with inventory: every service account, token, key, and certificate should have an owner, an application name, an environment, a purpose, and a renewal or expiry date. Without that metadata, review becomes guesswork. Use the NIST Cybersecurity Framework 2.0 to anchor asset visibility and access review, and pair it with a source of truth that can be queried by auditors and platform teams.
Provisioning should follow a request-and-approval pattern, but not necessarily the same one used for employees. For machine identities, approval should reflect technical necessity, expected scope, and maximum lifetime. If the use case is temporary, the credential should be issued as a just-in-time secret and revoked automatically when the job completes. For ongoing workloads, prefer workload identity over embedded static credentials. This keeps the access grant tied to the workload’s cryptographic identity rather than to a reusable secret that can be copied.
- Assign a clear human owner for every NHI and make review accountable.
- Use RBAC for coarse entitlements, then narrow them with JIT and time-bound secrets where possible.
- Separate creation, rotation, and revocation workflows so offboarding is not informal.
- Log use, not just issuance, so dormant access can be detected and removed.
Security teams should also treat secrets as lifecycle artifacts, not configuration leftovers. The JetBrains GitHub plugin incident illustrated how quickly exposed tokens can become an operational risk when developers assume a secret is “just part of the toolchain”; the same pattern applies across CI/CD, cloud automation, and integration accounts in JetBrains GitHub plugin token exposure. Current guidance suggests using policy checks at creation and at renewal, rather than relying only on periodic reviews. These controls tend to break down in legacy environments where shared accounts, hard-coded credentials, and long-lived certificates are embedded in release pipelines because ownership is diffuse and rotation requires application changes.
Common Variations and Edge Cases
Tighter lifecycle control often increases operational overhead, requiring organisations to balance reduced risk against deployment friction. That tradeoff is most visible in systems that were designed before modern identity governance existed, especially mainframes, vendor-managed integrations, and high-frequency automation that cannot tolerate frequent credential swaps. In those environments, best practice is evolving, and there is no universal standard for how aggressive rotation should be without disrupting service.
One common exception is machine-to-machine trust inside tightly controlled internal platforms. Here, short-lived credentials may still be preferable, but the review model can be lighter if workload identity and network constraints are strong. Another edge case is third-party access, where organisations often need to govern identities they do not fully control. Research on NHI exposure shows why this matters: The State of Non-Human Identity Security reports that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps. In those cases, IGA should focus on attestation, expiry enforcement, and removal of standing access.
For AI-enabled automation, the governance bar is even higher because autonomous systems can chain tools, request new access paths, and act outside the narrow assumptions that support static RBAC. That is why current guidance increasingly favours continuous policy evaluation and intent-aware authorisation over fixed role definitions. The NIST Cybersecurity Framework 2.0 remains useful for governance structure, but teams should treat each NHI class differently rather than forcing one policy pattern onto every workload.
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 |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Rotation and expiry are central to NHI lifecycle governance. |
| NIST CSF 2.0 | PR.AC-4 | Access entitlement review maps directly to NHI governance and least privilege. |
| NIST AI RMF | Autonomous systems need governance for accountability, oversight, and lifecycle control. |
Define ownership, oversight, and review for machine actions before granting persistent access.
