Organizations should review their non-human identity policies regularly, especially following significant updates to AI technologies, such as new agent capabilities being introduced. This ensures that governance frameworks align with the evolving landscape of AI deployments.
Why This Matters for Security Teams
NHI policy review is not a calendar exercise alone. It is a control point for catching drift between how machines authenticate today and how they were authorised when the policy was written. That drift becomes more dangerous as organisations adopt JIT credentials, workload identities, and agentic AI systems with tool access. Current guidance suggests policy updates should be triggered by material changes in architecture, risk, regulation, and identity lifecycle, not just annual governance cycles.
The reason is scale and exposure. NHI Mgmt Group research shows that 71% of NHIs are not rotated within recommended time frames, which means stale policy often translates into stale credentials and persistent access risk. The Ultimate Guide to NHIs explains why lifecycle, rotation, and offboarding must be reviewed together, while NIST Cybersecurity Framework 2.0 reinforces that governance must track changing threats and control effectiveness. In practice, many security teams discover policy gaps only after a new integration, token sprawl, or agent deployment has already expanded access beyond what the policy intended.
How It Works in Practice
A useful review cadence starts with events, not dates. Policies should be reassessed when organisations introduce new AI agents, change vault architecture, expand third-party access, adopt new secrets tooling, or redesign service-to-service authentication. For agentic systems, static RBAC alone is often insufficient because an agent’s actions are goal-driven and can change at runtime. That is why many teams are moving toward intent-based authorisation, where policy decisions are made in context, at request time, with stronger use of ephemeral credentials and workload identity.
Operationally, the review should answer four questions: who or what is the identity primitive, what secrets are issued, how long do they live, and who can revoke them? That means checking whether certificates, tokens, and API keys are short-lived; whether JIT provisioning is actually enforced; whether PAM and ZTA assumptions still hold; and whether policy-as-code rules reflect current tool chains. The Top 10 NHI Issues resource is useful when teams need a practical inventory of common failure modes, and the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs provides a lifecycle lens that maps well to review checkpoints.
- Review policies after major agent, platform, or CI/CD changes.
- Confirm each NHI has a clear owner, purpose, and expiry rule.
- Validate that secrets are rotated and revoked automatically where possible.
- Test whether runtime authorisation still matches actual workload behaviour.
NIST Cybersecurity Framework 2.0 fits well here because it supports ongoing governance, risk assessment, and control improvement rather than one-time documentation. These controls tend to break down in fast-moving agent pipelines because credentials, permissions, and execution paths change faster than manual review processes can keep up.
Common Variations and Edge Cases
Tighter review cycles often increase operational overhead, requiring organisations to balance security assurance against release velocity. That tradeoff is especially visible in AI-heavy environments where teams want to ship agents quickly but still prevent standing privilege and long-lived secrets. There is no universal standard for this yet, but current guidance suggests that the more autonomous the system, the more frequently its policy should be reviewed.
One edge case is third-party or embedded NHIs. The 52 NHI Breaches Analysis shows how overlooked service accounts and exposed tokens often become breach paths, so policy reviews should include supplier onboarding, token distribution, and offboarding evidence. Another is agentic AI governance, where the policy question is not only “who can access what” but “what may the agent decide to do right now.” In those cases, teams should pair Ultimate Guide to NHIs — Regulatory and Audit Perspectives with external expectations from NIST Cybersecurity Framework 2.0 and formal review triggers for policy exceptions, emergency access, and new autonomous capabilities. The hardest failures usually appear when an organisation assumes a policy written for service accounts will also govern agents, pipelines, and ephemeral machine identities without adjustment.
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 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Frequent review is needed to catch NHI rotation and lifecycle drift. |
| NIST CSF 2.0 | GV.OV-01 | Governance oversight requires continuous control review, not annual paperwork. |
| CSA MAESTRO | Agentic systems need runtime governance as capabilities and actions evolve. |
Reassess NHI rotation, expiry, and offboarding rules whenever systems or agents change.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on May 16, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org