Reviewers lose context, dormant access stays active, and the process turns into a completion exercise instead of a control. Broad reviews also hide the identities that matter most, especially high-risk service accounts and shared entitlements. When the review scope is too large, teams can satisfy the process without actually reducing exposure.
Why This Matters for Security Teams
Broad, infrequent identity reviews do more than waste analyst time. They create a false sense of control while the identities most likely to be abused keep operating unchecked. That is especially dangerous for service accounts, API keys, and other NHIs that can outlive projects, teams, and even the systems that created them. The result is stale privilege, missed ownership, and weak evidence that any risk actually went down.
NHI exposure is rarely subtle. NHIMG research shows that 97% of NHIs carry excessive privileges, and only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs. When reviews are too broad, teams tend to approve what they do not understand and defer what they cannot attribute. That pattern conflicts with current guidance in the NIST Cybersecurity Framework 2.0, which expects risk-based governance, not checkbox completion.
In practice, many security teams encounter dormant access only after a breach, not through intentional review design.
How It Works in Practice
A useful review process starts by shrinking the unit of review. Instead of asking one reviewer to approve hundreds of accounts at once, split the scope by owner, system, privilege level, and usage pattern. That lets reviewers answer concrete questions: Does this identity still exist for a valid workload? Is the access still needed? Is there a shorter-lived alternative such as JIT credentials or a more constrained workload identity?
The same logic applies to autonomous systems and agentic workloads. Static RBAC often fails because an AI Agent is goal-driven, not role-stable. Its access needs can change from task to task, so current guidance suggests pairing review activity with runtime authorisation decisions, short-lived secrets, and policy checks that evaluate intent and context at the moment of use. In practice, that means the review process should confirm whether the identity is still legitimate, while PAM and ZSP reduce the damage if the identity is misused.
Teams that manage this well usually combine inventory, ownership, and evidence of activity:
- Identify every NHI owner and require a business reason for each entitlement.
- Review only the accounts with meaningful exposure first, not the entire directory at once.
- Use rotation and expiry to force cleanup of unused Secrets instead of relying on annual attestations.
- Link review decisions to telemetry so inactivity, over-privilege, and failed use can be acted on immediately.
This approach matches the operational lessons in 52 NHI Breaches Analysis and the governance themes in Top 10 NHI Issues. It also aligns with NIST's emphasis on continuous identification and protection rather than periodic administrative review. These controls tend to break down when identity sprawl spans multiple clouds, CI/CD pipelines, and third-party integrations because ownership and usage evidence become fragmented across systems.
Common Variations and Edge Cases
Tighter review scope often increases coordination overhead, requiring organisations to balance faster risk reduction against more frequent ownership updates. That tradeoff is usually worth it, but there is no universal standard for the exact review cadence yet. For high-risk NHIs, monthly or event-driven checks are more defensible than annual attestation, while low-risk internal automation may justify longer cycles if the identity is tightly constrained and monitored.
Edge cases matter. Shared service accounts can obscure who should approve access, so the control must shift from human recall to asset ownership, system telemetry, and separation of duties. Third-party or vendor-managed identities are another weak spot because local teams may not control the full lifecycle. In those situations, the review should verify contract, expiry, and revocation paths, not just current access. That is consistent with the broader risk perspective in Ultimate Guide to NHIs — What are Non-Human Identities and the breach patterns highlighted in the Cisco DevHub NHI breach and JetBrains GitHub plugin token exposure write-ups.
The practical takeaway is simple: broad reviews preserve process, but narrow, evidence-based reviews reduce exposure.
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 NHI lifecycle and access hygiene, which broad reviews fail to maintain. |
| NIST CSF 2.0 | PR.AC-4 | Addresses least-privilege access governance for identities and entitlements. |
| NIST AI RMF | Applies to autonomous AI behaviours that make static review models ineffective. |
Use NHI-03 to enforce scoped reviews, owner validation, and timely removal of stale access.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
