The claim breaks because maturity depends on seeing how identities are actually being used, not just on having IAM tools in place. If teams cannot observe service account behaviour, abnormal token use, or active compromise signals, they cannot prove control effectiveness. That creates false confidence, delayed response, and hidden privilege exposure across the identity estate.
Why This Matters for Security Teams
Identity maturity claims are only credible when teams can verify how identities behave in production. If visibility stops at the IAM console, then service accounts, API keys, tokens, and machine identities can drift into excess privilege without detection. That gap matters because control effectiveness is measured by observed behaviour, not policy intent, a point reinforced in the NIST Cybersecurity Framework 2.0 and in NHIMG research such as the Ultimate Guide to NHIs.
The practical problem is that many environments still treat inventory as maturity. They can count identities, but they cannot answer whether those identities are overused, stale, compromised, or chaining access across systems. NHIMG data shows only 5.7% of organisations have full visibility into their service accounts, which means most teams are operating with partial telemetry and incomplete assurance. That is why maturity claims often fail during audits, incident reviews, or board reporting: the evidence does not support the assertion.
In practice, many security teams discover hidden privilege and inactive compromise only after an identity-driven incident has already moved beyond the initial blast radius.
How It Works in Practice
Real identity maturity requires observing identity usage across issuance, authentication, authorisation, and revocation. That means correlating logs from IAM, PAM, secrets managers, cloud control planes, CI/CD systems, and workload runtimes so teams can see whether an identity is acting within its expected purpose. The Top 10 NHI Issues and Ultimate Guide to NHIs both reflect the same operational lesson: without behavioural visibility, control claims remain unverified.
Effective programmes usually build maturity in layers:
- Asset discovery for service accounts, API keys, certificates, tokens, and workload identities.
- Usage baselines that show normal call patterns, tool access, and privilege scope.
- Continuous monitoring for abnormal token reuse, dormant identity activation, and privilege escalation.
- Revocation and rotation evidence that proves exposure is actually reduced, not just documented.
This is also where NIST guidance becomes useful: CSF 2.0 pushes organisations toward measurable governance, while the identity-oriented portions of modern Zero Trust practice require continuous verification rather than periodic trust. Teams should expect to answer questions such as which identities are unused, which are overprivileged, which are shared, and which are still active after decommissioning. If those answers depend on manual spreadsheets or one-time audits, the maturity claim is not defensible.
These controls tend to break down in hybrid estates with shadow automation, because identities can be created and consumed faster than the monitoring and review process can keep up.
Common Variations and Edge Cases
Tighter identity monitoring often increases operational overhead, so organisations must balance visibility against alert fatigue and administrative load. That tradeoff is real, especially where cloud, SaaS, and CI/CD pipelines generate high volumes of short-lived credentials. Best practice is evolving, but current guidance suggests focusing first on the identities that can create the most hidden blast radius: privileged service accounts, long-lived API keys, and shared automation credentials.
One common edge case is a partial-vs-full visibility gap. A team may see cloud IAM events but miss secrets use inside build systems, application runtime calls, or third-party integrations. Another is tool fragmentation: separate owners for IAM, PAM, and secrets management can each report local maturity while no one can prove end-to-end identity behaviour. NHIMG research highlights this risk in the 52 NHI Breaches Analysis, where identity compromise repeatedly appears as a control failure, not just a credential problem.
In lower-maturity environments, the safest interpretation is conservative: if usage cannot be observed, it should not be counted as controlled. That is especially true for externally exposed integrations, shared tokens, and identities created outside standard onboarding workflows.
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-05 | Visibility gaps hide overprivileged and stale non-human identities. |
| NIST CSF 2.0 | DE.CM-01 | Continuous monitoring is required to prove identity control effectiveness. |
| NIST AI RMF | GOV-1 | Governance needs measurable evidence, not assumed maturity. |
Define accountability, evidence, and review processes for identity controls across the full estate.
Related resources from NHI Mgmt Group
- What breaks when teams rely on identity inventories instead of visibility?
- How should organisations measure identity security maturity across human and non-human identities?
- Why does identity security maturity change the economics of IAM programmes?
- How should teams start an identity security programme without overwhelming the business?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 24, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
