Because maturity scores measure what respondents say exists, not how candidly the team handles weakness, disagreement, or stalled work. If people avoid naming bad data, unclear ownership, or failed pilots, the score can stay high while the operating model remains fragile. Governance problems usually show up in deferred decisions and vague accountability before they show up in the numbers.
Why This Matters for Security Teams
A maturity score can look reassuring because it rewards documented process, completed questionnaires, and visible controls, even when the organisation is not surfacing weak ownership or unresolved exceptions. That matters in NHI governance because the hardest problems are often operational, not theoretical: stale secrets, ambiguous custodianship, and access that survives long after the original use case has changed. The NIST Cybersecurity Framework 2.0 is useful here because it emphasises outcomes, not just stated intent.
For non-human identities, a score can rise while the real risk remains hidden if teams are reluctant to admit they do not know where all secrets live, which service account owns which workload, or which exceptions are still active. That is why NHI governance has to be checked against actual lifecycle evidence, not only policy artefacts. NHIMG’s Top 10 NHI Issues is a useful reference point for the failure modes that tend to stay invisible in executive reporting. In practice, many security teams encounter the gap only after a privileged token is found in a place no one expected, rather than through intentional governance review.
How It Works in Practice
Strong-looking maturity scores usually come from self-attestation, so the first task is to test whether reported controls are actually operating. For NHIs, that means checking whether secrets are rotated on schedule, whether ownership is explicit, whether dormant identities are removed, and whether exceptions are time-bound. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is helpful because lifecycle evidence is where real governance is usually proven or disproven.
A practical review should compare the scorecard against observable artefacts:
- ticket history showing who approved exceptions and when they expire
- inventory data showing which NHIs are active, stale, or orphaned
- rotation records proving secrets were actually replaced
- ownership records linking each NHI to a business service or system
- incident and audit logs showing whether weaknesses were escalated or deferred
Security teams should also verify whether the scoring model rewards activity instead of risk reduction. A team can score well for publishing a policy even if no one enforces it, or for closing low-value tickets while leaving high-risk service accounts untouched. Current guidance suggests using evidence-based review against a control framework such as the NIST Cybersecurity Framework 2.0, then tracing each claim back to operational proof. This is especially important in environments with many short-lived workloads, where a clean spreadsheet can hide identities that are created faster than they are reviewed. These controls tend to break down when identity data is fragmented across cloud, CI/CD, and messaging platforms because no single team can see the whole lifecycle.
Common Variations and Edge Cases
Tighter scoring often increases reporting overhead, so organisations have to balance measurement clarity against the burden of collecting evidence from multiple systems. That tradeoff becomes more pronounced when governance spans DevOps, cloud, and legacy infrastructure, because a maturity model built for one environment can overstate control in another. Best practice is evolving here, and there is no universal standard for how much self-assessment is enough.
One common edge case is a high score driven by policy completeness but weak enforcement. Another is a program that measures human IAM rigorously while leaving NHIs undercounted or grouped into generic categories. NHIMG’s Ultimate Guide to NHIs — Regulatory and Audit Perspectives is useful because auditors tend to focus on whether governance can be evidenced, not whether it sounds mature. The practical test is simple: if the organisation cannot show who owns each NHI, how long its credentials live, and what happens when a control fails, the maturity score is reflecting confidence rather than governance.
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 CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Scores can hide unmanaged or orphaned NHIs that this control is meant to expose. |
| NIST CSF 2.0 | GV.RM-03 | Risk reporting can overstate readiness if governance evidence is not validated. |
| NIST CSF 2.0 | PR.AA-01 | Authentication and identity claims should be backed by operational proof, not survey answers. |
Inventory every NHI, assign ownership, and verify each identity has a justified purpose.
