Manual approval still matters when the access itself creates compliance, operational, or financial risk. In those cases, the approval is evidence that the request was reviewed against policy, ownership, and business need before the entitlement was granted.
Why Manual Approval Still Matters in Cloud IAM
Manual approval still has a role when the entitlement creates meaningful risk, not when it is merely convenient. In cloud iam, the approval step can function as a control over business justification, ownership, and policy fit before access is granted. That matters most for privileged roles, production systems, sensitive data paths, and exceptions that do not fit cleanly into RBAC or pre-approved workflows. The OWASP Non-Human Identity Top 10 reflects why access decisions cannot be reduced to static entitlement checks alone.
This is especially relevant as cloud estates become denser and more automated. NHIMG research shows that 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, and 70% grant AI systems more access than they would give a human employee doing the same job. That combination creates a governance gap where approvals are often the only human checkpoint before risk is made persistent. Manual review also reinforces accountability when access has audit, compliance, or financial implications. In practice, many security teams encounter over-permissioned cloud access only after a sensitive workload has already been exposed, rather than through intentional review.
How Manual Approval Fits into Modern Cloud Controls
Manual approvals are most effective when they are narrow, time-bound, and tied to policy. They should not be used to replace least privilege or to compensate for a broken entitlement model. Instead, approval works as a decision gate for requests that require context a rules engine may not fully capture, such as production break-glass access, cross-account administration, data export permissions, or temporary exceptions. The Ultimate Guide to NHIs is useful background on why workload access must be governed differently from human access.
In a mature cloud IAM process, approval should answer three questions:
- Who owns the target resource or role?
- What business purpose justifies the access?
- How long should the entitlement remain active before it is revoked or revalidated?
That pattern pairs well with just-in-time access, ephemeral credentials, and policy-as-code. The manual reviewer confirms whether the request is legitimate; the platform enforces duration, scope, and revocation automatically. For sensitive environments, the reviewer should also verify segregation of duties and whether the requested access creates a compliance issue even if it is technically allowed. Current guidance suggests approvals are most valuable when they are attached to higher-risk access paths, not every routine request. These controls tend to break down when approval becomes a rubber stamp for broad, standing access in fast-moving multi-cloud environments because reviewers lose the context needed to make a meaningful decision.
Where Manual Review Breaks Down and What to Watch
Tighter approval controls often increase friction, so organisations need to balance assurance against speed. That tradeoff is real: too much human review can delay delivery, while too little review can normalise risky access. The 2024 Non-Human Identity Security Report highlights the maturity gap well, with only 19.6% of security professionals expressing strong confidence in their organisation’s ability to securely manage non-human workload identities. When confidence is low, manual approvals can prevent unsafe exceptions from becoming invisible.
The edge cases are important. Manual approval is less useful for high-volume, low-risk, repeatable requests where automation is more reliable. It is also weaker in agentic or machine-to-machine flows, where access may need to be decided at runtime based on workload identity, intent, and context rather than a person’s sign-off. For those cases, use approval as a governance backstop, not the primary control. In addition, approval alone does not solve secret sprawl, privilege escalation, or stale entitlements. NHIMG has documented how secret exposure can quickly become an escalation path, including in the Azure Key Vault privilege escalation exposure research.
Best practice is evolving toward selective approvals for exception handling, while routine access is enforced through policy, automation, and short-lived credentials. Where cloud environments are heavily distributed, highly automated, or shared across teams, manual approval alone is too slow to be the main safeguard because the risk can move faster than the review queue.
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 |
|---|---|---|
| NIST CSF 2.0 | PR.AC-1 | Manual approvals govern who gets access before it is granted. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Covers excessive or poorly governed non-human access decisions. |
| NIST AI RMF | Human oversight and governance are central to higher-risk AI and automated access. |
Use approvals to validate business need before granting sensitive workload or service identity permissions.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 12, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org