NHIs complicate IAM and IGA because they multiply quickly, operate across multiple platforms, and often lack the stable ownership patterns that human identity programmes assume. That creates gaps in recertification, offboarding, and auditability unless the organisation standardises lifecycle governance for every machine identity type.
Why This Matters for Security Teams
NHIs are harder to govern than human users because they are created by pipelines, deployed across services, and multiplied by automation faster than IAM and IGA programmes were designed to track. That matters because entitlement reviews, joiner-mover-leaver workflows, and ownership attestations all assume a person with a manager, a calendar, and a stable job role. For machine identities, those assumptions fail. NHI Mgmt Group’s Top 10 NHI Issues shows the scale problem clearly, and the Ultimate Guide to NHIs explains why lifecycle control, not ad hoc access grants, has to become the default.
The practical risk is that teams keep using human-centric controls to review service accounts, API keys, workload tokens, and certificates. Those controls produce false confidence when identities are shared, embedded in code, or issued for short-lived workloads that never appear in a classic IGA queue. NIST’s NIST Cybersecurity Framework 2.0 still helps by framing identity as a governance and protection issue, but it does not remove the need to redesign how non-human access is discovered, owned, and revoked. In practice, many security teams encounter NHI exposure only after credentials have already been reused, not through intentional governance.
How It Works in Practice
In a working programme, NHIs are treated as first-class identities with their own inventory, owners, policies, and expiry rules. That starts by distinguishing what the identity is for, because service accounts, deployment tokens, API keys, certificates, and workload identities do not behave the same way. The identity should be tied to a business service or application, not to an individual who happens to have provisioned it. For that reason, most organisations need both IGA controls and operational guardrails from PAM, secrets management, and CI/CD governance.
Practically, that means four steps:
- Discover all machine identities and map them to applications, pipelines, and data paths.
- Assign explicit ownership and review cadence, even when the identity is ephemeral or auto-generated.
- Prefer short-lived credentials and rotation over static secrets stored in code or config.
- Revoke access automatically when the workload, pipeline, or integration is retired.
This is also where the broader governance model matters. Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful for aligning discovery, issuance, rotation, and offboarding into one lifecycle. NIST CSF 2.0 helps organisations express those controls as repeatable governance outcomes, while current best practice increasingly favours dynamic credentialing rather than static secrets. The Aembit research in The 2024 Non-Human Identity Security Report found that 88.5% of organisations say their non-human IAM lags behind or only matches their human IAM, which is a strong signal that the gap is structural, not cosmetic.
These controls tend to break down in hybrid and multi-cloud environments because the same NHI can be issued, embedded, and consumed by multiple platforms with inconsistent telemetry.
Common Variations and Edge Cases
Tighter governance often increases operational overhead, so organisations have to balance control depth against delivery speed. That tradeoff is most visible where engineers rely on ephemeral workloads, temporary build agents, or third-party integrations that cannot tolerate long approval cycles. Best practice is evolving here: there is no universal standard for every NHI class, so teams usually need different control patterns for human-operated service accounts, fully automated workloads, and externally supplied identities.
One common edge case is the shared service account. It may exist for compatibility, but it weakens attribution and makes recertification almost meaningless unless compensating controls exist. Another is the fast-moving CI/CD pipeline, where secrets can be injected, used, and discarded before traditional IGA even detects them. In those environments, organisations should prioritise Regulatory and Audit Perspectives and compare them with the control expectations in NIST Cybersecurity Framework 2.0 to make sure ownership, evidence, and revocation are actually provable.
For remediation, the most reliable pattern is to anchor every NHI to a lifecycle event, a policy, and a revocation path. Without that, IAM and IGA keep reporting access state, but not access reality.
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 | Covers rotation and lifecycle control for non-human credentials. |
| NIST CSF 2.0 | PR.AC-4 | Addresses least-privilege access management for non-human identities. |
| NIST AI RMF | Useful where autonomous systems need accountability and governance. |
Assign clear accountability and policy oversight for every autonomous machine identity.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
