Manual reviews depend on human time, consistent judgement, and stable queues. As identity populations expand across people, service accounts, and AI agents, the review model becomes a bottleneck and quality drops. The result is not just slower governance, but weaker decisions and less reliable certification outcomes.
Why This Matters for Security Teams
Manual access reviews are designed for a world where identity counts are limited, change is predictable, and reviewers can realistically validate each entitlement. That assumption breaks once the estate includes service accounts, API keys, certificates, and agentic workloads that change faster than review cycles. NHI Management Group notes that NHIs outnumber human identities by 25x to 50x in modern enterprises, which means the review queue can grow faster than governance teams can inspect it. See the Ultimate Guide to NHIs for the broader lifecycle context, and the OWASP Non-Human Identity Top 10 for common failure patterns.
The core issue is not just scale. Manual certification depends on the reviewer understanding what each identity actually does, whether it is still needed, and whether its access matches current business use. In practice, those decisions are often made from stale inventory data, incomplete ownership records, and inconsistent judgement. Once identities span cloud, CI/CD, automation, and AI-driven systems, the likelihood of missing excessive privilege or orphaned access rises sharply. In practice, many security teams discover the control failure only after a breach review or audit finding exposes how much drift had already accumulated.
How It Works in Practice
Effective access governance at scale shifts from periodic human inspection to continuous, evidence-backed control. The best practice is evolving, but the operational pattern is clear: manual review should be reserved for exceptions, while entitlement state, ownership, and activity signals are collected automatically. NHI Management Group’s NHI Lifecycle Management Guide frames this as a lifecycle problem, not a one-time certification problem. The most reliable programs combine inventory, classification, rotation, and offboarding so reviewers are validating decisions, not reconstructing them.
For autonomous and machine-generated identities, the model changes further. Access should be tied to workload identity and runtime context rather than a static approval list. Standards and guidance increasingly point toward short-lived credentials, policy-as-code, and request-time evaluation. That means a reviewer should verify the policy governing the identity, not manually bless every individual action.
- Use authoritative inventory to identify each identity, owner, and system dependency before the review begins.
- Prefer short-lived credentials and automated revocation over standing access that must be re-approved later.
- Map privileged entitlements to actual usage, not just ticket history or department labels.
- Route high-risk exceptions through tighter controls such as PAM or step-up approval rather than blanket approvals.
- Use CISA Zero Trust guidance and the SPIFFE workload identity model to anchor machine identity to cryptographic proof instead of manual attestations.
The practical goal is to make review work from authoritative telemetry and policy evidence, not memory and spreadsheets. These controls tend to break down when inventory is fragmented across SaaS, cloud, CI/CD, and AI orchestration layers because ownership and live usage cannot be reconciled fast enough for the review window.
Common Variations and Edge Cases
Tighter review workflows often increase operational overhead, so organisations must balance assurance against reviewer fatigue and business friction. There is no universal standard for this yet, especially where human access, service accounts, and AI agents are governed in the same estate. For that reason, many programmes use different review cadences by risk tier, with privileged, externally exposed, or long-lived identities reviewed more aggressively than low-risk ephemeral workloads.
Edge cases appear when identities are shared, delegated, or created dynamically by automation. A manual reviewer may approve an entitlement that is technically correct but operationally obsolete because the workload has already been replaced. The same problem shows up with contractor access, third-party integrations, and break-glass accounts where ownership is unclear and entitlement purpose is poorly documented. NHI Management Group’s 52 NHI Breaches Analysis shows how often identity failures compound when review and revocation lag behind actual use.
In mature programmes, the question is no longer whether to keep reviews, but how to make them evidence-led. Current guidance suggests pairing access reviews with automated deprovisioning, continuous detection of privilege drift, and exception handling for identities that cannot be validated cleanly. That approach keeps manual judgement focused on the cases that truly require it, rather than treating every entitlement as equally reviewable.
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 | Addresses overprivileged and stale non-human access that manual reviews miss. |
| NIST CSF 2.0 | PR.AC-4 | Access governance and least privilege depend on timely entitlement validation. |
| NIST AI RMF | AI RMF is relevant when autonomous systems create identities and access changes. |
Apply AI RMF governance to track ownership, accountability, and runtime control of agent-driven access.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 8, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org