They mistake permitted access for actual access. A policy can show that a token may reach a resource, but only usage data shows whether the token ever needed that privilege. Static reviews are useful for configuration hygiene, but they are not enough to right-size machine identity access safely.
Why This Matters for Security Teams
Static IAM policy reviews are good at answering one narrow question: what a token could access if every granted permission were exercised. They do not answer whether the token was needed, used, or safe to keep. That gap matters because machine identities tend to accumulate permissions faster than teams can review them, especially across SaaS, CI/CD, and API-heavy environments. The result is a false sense of control that looks compliant on paper but still leaves over-privileged tokens in circulation.
This is why NHI governance has to move beyond configuration snapshots and toward usage-aware right-sizing. Industry research in the State of Non-Human Identity Security shows only 1.5 out of 10 organisations are highly confident in securing NHIs, which matches what security teams see when they finally trace token activity after an incident. Frameworks such as the NIST Cybersecurity Framework 2.0 support stronger governance, but they do not replace runtime evidence of actual use.
In practice, many security teams discover over-privileged tokens only after a breach, an audit exception, or a vendor integration failure has already exposed the gap.
How It Works in Practice
The practical mistake is treating a policy review as a substitute for behavioural analysis. A token may be permitted to read customer data, call an admin API, or refresh another credential, but static entitlements do not show whether the token ever exercised that access. For machine identities, the useful question is not only “is this allowed?” but also “what does this token actually do at runtime?” That is where log correlation, workload telemetry, and short-lived credentialing become essential.
Security teams usually get better results when they combine static review with usage evidence from identity provider logs, cloud audit trails, API gateways, and CI/CD systems. The workflow is often:
- Inventory tokens, service accounts, and OAuth grants across environments.
- Map granted scopes and permissions to the resources they can reach.
- Compare those entitlements with actual call patterns over a meaningful window.
- Remove unused privileges and replace long-lived tokens with short-lived alternatives.
- Recheck after code releases, vendor changes, and owner handoffs.
That approach aligns with NHI guidance in NHIMG research on the Guide to the Secret Sprawl Challenge, which shows how exposed credentials often persist long after they should have been revoked. It also fits incident patterns documented in the Salesloft OAuth token breach, where access was abused through valid tokens rather than noisy password compromise. These controls tend to break down in environments with many ephemeral workloads and third-party OAuth apps because access is granted and reused faster than review cycles can keep up.
Common Variations and Edge Cases
Tighter access review often increases operational overhead, so teams have to balance privilege reduction against the risk of breaking automation. That tradeoff is especially sharp for service meshes, build runners, SaaS integrations, and agentic workloads that request access dynamically. Current guidance suggests static review should be a baseline hygiene activity, not the decision point for ongoing authorization.
There is no universal standard for this yet, but the direction is clear: context-aware access decisions are replacing one-time approval logic. In mature environments, teams pair policy review with just-in-time issuance, workload identity, and revocation tied to task completion. That matters because a token that is technically valid may still be operationally unnecessary, and unused privilege remains dangerous even when it has not yet been exploited.
Edge cases also include vendor-managed integrations, cross-tenant automation, and API tokens embedded in CI pipelines. In those cases, reviews often fail because the true owner is unclear or the token is reused in multiple systems. NHIMG’s Top 10 NHI Issues reinforces that over-privilege and weak visibility are recurring root causes, not isolated mistakes. The practical answer is to continuously reconcile granted access with actual use, then shorten token lifetime wherever business operations permit.
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 over-privileged non-human credentials and stale access. |
| NIST CSF 2.0 | PR.AC-4 | Supports least-privilege access control for machine identities. |
| NIST AI RMF | Runtime context and accountability are key for autonomous or semi-autonomous token use. |
Map token entitlements to least-privilege rules and validate them with runtime telemetry.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on July 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
