When NHIs sit outside the governed process, teams lose visibility into who owns them, when they should be rotated, and when they should be revoked. That creates standing access and stale credentials. A platform that ignores machine identities leaves a major part of the attack surface unmanaged.
Why This Matters for Security Teams
When non-human identities are excluded from IGA, the control plane only governs people while service accounts, API keys, and automation tokens continue to accumulate outside review. That weakens joiner-mover-leaver processes, obscures ownership, and delays rotation or revocation decisions. NHI Management Group notes that only 5.7% of organisations have full visibility into their service accounts, which makes unmanaged machine access a routine blind spot rather than an edge case. The gap also undermines zero trust assumptions because the system cannot continuously validate who or what is acting.
This is not just an inventory problem. It changes how risk propagates across CI/CD, cloud workloads, and integrations that depend on secrets embedded in code or config. The NIST Cybersecurity Framework 2.0 expects identity governance to support protection and recovery, but that only works if machine identities are in scope. In practice, many security teams discover stale credentials and overprivileged service accounts only after a breach, rather than through intentional lifecycle governance.
How It Works in Practice
IGA is designed to answer three operational questions: who owns an identity, what access it has, and when that access should change. For NHIs, those questions must be answered with the same discipline used for employees, but the mechanics differ. A service account may be created by a pipeline, used by a workload, and never touched by a human until an incident. That means ownership metadata, purpose, expiry, and rotation schedule need to be attached at provisioning time and kept current through automation.
Effective programs usually connect IGA to systems that can observe machine identity behaviour in real time. The point is not just to list secrets, but to tie them to a workload, application, or business service and then enforce lifecycle events such as review, rotation, or revocation. NHI Management Group’s Ultimate Guide to Non-Human Identities highlights why this matters: 80% of identity breaches involved compromised non-human identities such as service accounts and API keys. That scale of exposure requires workflow integration, not periodic spreadsheet cleanup.
In practice, teams should map each NHI to a human or team owner, a system owner, a risk tier, and a renewal or expiration policy. Then they should automate approvals and access reviews wherever possible:
- Issue NHIs through the same governed intake used for other identities.
- Store ownership, scope, and expiry as mandatory metadata.
- Trigger rotation when a secret is used, exposed, or aged beyond policy.
- Revoke access when the workload is retired, the integration changes, or ownership is lost.
For implementation detail, the NIST Cybersecurity Framework 2.0 is a useful reference point for governance and monitoring, while the JetBrains GitHub plugin token exposure incident shows how quickly long-lived credentials can become a supply chain problem. These controls tend to break down when NHIs are created ad hoc in CI/CD or cloud-native environments because ownership and expiration data are rarely enforced at creation time.
Common Variations and Edge Cases
Tighter lifecycle control often increases operational overhead, requiring organisations to balance faster automation against the risk of breaking legitimate workloads. That tradeoff is most visible in systems with legacy integrations, vendor-managed access, or shared service accounts where immediate revocation could interrupt production. Best practice is evolving, and there is no universal standard for every environment, so the governance model must reflect the criticality and fragility of each workload.
Some NHIs cannot be handled like employee identities because they are ephemeral, generated by infrastructure, or inherited from a platform the security team does not directly administer. In those cases, IGA should still record the identity boundary, the responsible owner, and the control that will retire it. The practical failure mode is not always missing approval. It is stale entitlement drift, where an old token remains valid after the workload, integration, or vendor relationship has changed.
This is where NHI Management Group’s lifecycle guidance is especially useful: teams should treat orphaned NHIs as a revocation priority, not a housekeeping task. Where human review is unavoidable, scope the review to high-risk secrets first, then expand to lower-risk automation. That approach reduces blast radius without pretending every machine identity can be governed with the same cadence as a person.
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 | NHI lifecycle gaps are a core NHI-03 risk when identities are unmanaged. |
| NIST CSF 2.0 | PR.AC-4 | Access governance fails when machine accounts bypass identity and access reviews. |
| NIST AI RMF | AI RMF governance applies where autonomous systems create and use NHIs. |
Put every NHI into a lifecycle workflow with owner, expiry, rotation, and revocation controls.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
