Manual approvals distort productivity because they reward activity instead of reducing the work itself. A team can close many tickets and still leave access stale, duplicated, or overprovisioned. The better test is whether routine joiner-mover-leaver changes happen through policy and whether exceptions remain visible for review.
Why This Matters for Security Teams
Manual approval queues often make lifecycle automation look weaker than it is because they keep the metric focused on human effort instead of control quality. A team can process tickets quickly while still leaving stale access, duplicate service accounts, or overprivileged NHIs in place. NHI governance is about reducing standing access and shrinking the exception surface, not maximizing the number of approvals completed.
This is especially visible in joiner-mover-leaver workflows, where delays are usually caused by review bottlenecks rather than by the policy engine itself. The distinction matters because the real objective is to move routine changes into policy-driven execution and reserve human review for exceptions. NHI Management Group’s NHI Lifecycle Management Guide frames lifecycle maturity around automation, visibility, and timely revocation, which is a better benchmark than approval volume alone. Current guidance also aligns with the OWASP Non-Human Identity Top 10, which treats stale credentials and weak lifecycle control as core risk drivers.
In practice, many security teams discover that approval-heavy processes create the illusion of control only after access sprawl has already become normalised.
How It Works in Practice
The practical test is whether the system can complete low-risk lifecycle actions automatically while preserving a visible approval path for exceptions. A mover event should update group membership, entitlements, secrets, and token scopes through policy, not through a manual queue. A leaver event should revoke access, rotate dependent secrets, and deactivate unused identities promptly. The goal is not to eliminate oversight, but to make oversight targeted and auditable.
That usually means separating routine state changes from high-risk requests. For example, a known application service account may be rekeyed automatically when a rotation threshold is reached, while a privileged production exception still routes to a reviewer. The most useful measurement is therefore not tickets closed, but how much of the lifecycle is handled by deterministic policy. NHI Management Group’s Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs and Guide to the Secret Sprawl Challenge both point to the same operational reality: lifecycle failures are usually visibility and process failures, not a lack of ticket handling.
- Define which lifecycle events are policy-driven by default and which require human approval.
- Use JIT provisioning or ephemeral access where possible instead of long-lived standing privileges.
- Track revocation time, secret rotation time, and orphaned identity count, not just approval throughput.
- Review exceptions separately so the approval system does not mask the automation baseline.
For control design, the issue is closely related to the OWASP NHI guidance on lifecycle management and secret exposure, and to automation patterns discussed in the OWASP Non-Human Identity Top 10. These controls tend to break down in environments with many shadow integrations and hard-coded secrets because the system cannot reliably identify every dependent workload.
Common Variations and Edge Cases
Tighter approval controls often increase operational friction, requiring organisations to balance speed against assurance. In mature environments, that tradeoff can be acceptable for privileged exceptions, but it becomes counterproductive when applied to every routine change. Best practice is evolving toward policy-based automation for standard lifecycle events, with human review reserved for unusual scope, sensitive environments, or uncertain ownership.
There is no universal standard for the exact approval threshold yet, especially where business continuity depends on legacy systems or third-party managed identities. In those cases, manual approvals may remain necessary as a compensating control, but they should be treated as a temporary bridge rather than proof that automation is not working. The key edge case is when approvals are used to compensate for poor inventory. If the organisation cannot reliably identify all NHIs, the queue may look active while offboarding gaps and dormant secrets persist. For that reason, lifecycle metrics should be paired with asset discovery and secret hygiene. The Top 10 NHI Issues and the Ultimate Guide to NHIs — Static vs Dynamic Secrets are useful references when deciding where approvals should end and automation should begin.
Where ownership is unclear, credential sprawl is extreme, or service accounts are shared across teams, manual approvals can keep the process visible without materially reducing 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 | Lifecycle control is central when approvals hide stale or overprivileged access. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access review depends on timely revocation, not ticket volume. |
| NIST AI RMF | GOVERN | Governance is needed to separate automated lifecycle actions from exception handling. |
Define policy ownership, exception criteria, and lifecycle accountability before scaling automation.
