Yes, but only if the governance model separates identity types. Human reviews still fit slower JML patterns, while NHIs and AI agents need continuous, event-driven oversight tied to ownership, usage, and lifecycle changes. One cadence cannot govern all three actor types effectively.
Why This Matters for Security Teams
Human access reviews still solve a real governance problem, but they are built for slower joiner-mover-leaver patterns and named accountability. NHIs do not behave like people: they are embedded in pipelines, services, and automation paths that change with deployments, ownership transfers, and configuration drift. That is why teams that apply one review cadence to every identity type usually miss the risk that matters most. NHI Management Group’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges, which is a strong signal that periodic review alone is not enough for machine identities.
The practical issue is not whether reviews are useful. It is whether the review model matches the actor. Human access is usually stable enough for scheduled certification. NHI access is often transient, inherited, or attached to a workload that can be recreated faster than a quarterly review can catch up. That mismatch creates blind spots in ownership, revocation, and scope creep. Current guidance from the OWASP Non-Human Identity Top 10 treats lifecycle and privilege governance as recurring control failures, not one-time administration issues. In practice, many security teams discover NHI overreach only after an incident forces them to reconstruct who owned the credential and why it still existed.
How It Works in Practice
A workable model separates identity governance by actor type. Human users stay on access review cadences tied to role changes, manager attestation, and recertification. NHIs and AI agents move to continuous oversight that checks ownership, purpose, usage patterns, secret age, and revocation triggers. That means the control question changes from “does this person still need access?” to “does this workload still exist, and does its current behavior match the approved intent?”
For NHIs, the operational baseline is short-lived credentials, explicit ownership, and automated lifecycle hooks. Reviews should be event-driven when a service is retired, a pipeline changes, a key is rotated, or a workload is cloned. If the identity supports automation, the system should also validate whether the secret is still tied to a current deployment and whether the permissions match the function in production. NIST’s NIST SP 800-53 Rev 5 Security and Privacy Controls supports this through access enforcement, auditability, and revocation expectations, while NHI Management Group’s NHI Lifecycle Management Guide reinforces the need to align identity status with actual operational state.
- Keep human access reviews, but limit them to people and clearly human-owned entitlements.
- Tag every NHI to an owner, system, and business purpose.
- Trigger review when the workload changes, not only on a calendar date.
- Use rotation, revocation, and expiration as default controls for machine credentials.
- Track orphaned identities, unused secrets, and privileges that exceed current task scope.
This approach is stronger because it treats NHIs as living parts of the production stack, not as static accounts. These controls tend to break down in highly ephemeral environments such as CI/CD pipelines and autoscaled microservices, because identities can be created and discarded faster than manual certification can keep pace.
Common Variations and Edge Cases
Tighter identity governance often increases operational overhead, so organisations have to balance assurance against friction. That tradeoff is especially real in platform teams that manage thousands of short-lived service accounts, workload tokens, and API keys. Current guidance suggests that not every NHI needs the same review depth, but there is no universal standard for this yet. The safest approach is to tier identities by privilege, blast radius, and automation criticality, then apply more frequent event-driven checks to the highest-risk set.
There are also edge cases where ownership is shared or ambiguous. Shared platform identities, cross-team integration credentials, and vendor-managed NHIs can defeat simple attestation workflows because no single manager can confidently certify business need. In those cases, attestation should shift from individual approval to control verification: is the secret vault-managed, is the token scoped, is rotation automated, and is revocation tested? NHI Management Group’s 52 NHI Breaches Analysis is useful for understanding how often weak lifecycle control becomes an incident pattern, not just a theoretical gap.
For agentic workloads, the answer is even more restrictive. AI agents may change tool use and access paths as tasks evolve, so static review cadences cannot fully describe real exposure. Human reviews still matter, but only for human identities. NHIs need continuous governance that follows usage, not just assignment, because the highest-risk failure is usually an identity that stays valid long after the workload that justified it has moved on.
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, NIST SP 800-63 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 | Addresses NHI lifecycle and credential rotation, central to separating human and machine review models. |
| NIST CSF 2.0 | PR.AC-1 | Supports access control by identity type and appropriate entitlement governance. |
| NIST SP 800-63 | IAL2 | Human identity assurance remains relevant for named users and their attestations. |
| NIST AI RMF | AI RMF governs oversight of autonomous behavior and changing operational context. | |
| CSA MAESTRO | MAESTRO focuses on lifecycle and governance for agentic systems with tool access. |
Tie every NHI to automated rotation, expiry, and revocation checks instead of human-style recertification.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on September 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org