Usage reveals whether governance is being used in day-to-day work or only documented in policy. If teams can see who is interacting with the platform and which assets are drawing attention, they can distinguish genuine adoption from shelfware and adjust training, workflows, or stewardship coverage accordingly.
Why This Matters for Security Teams
Platform usage is the difference between governance that exists on paper and governance that changes behaviour. If teams can see which identities, assets, and workflows are actually being touched, they can tell whether controls are embedded in daily operations or simply documented for audits. That matters because governance adoption is usually visible first in usage patterns, not in policy language.
This is why operational telemetry is so important in NHI programmes. The same pattern appears in the broader NHI market, where the State of Non-Human Identity Security shows that only 1.5 out of 10 organisations are highly confident in securing NHIs. In practice, a confidence gap like that is often a signal that control adoption is uneven, not that documentation is missing. Current guidance in NIST Cybersecurity Framework 2.0 also reinforces the need to measure outcomes, not just stated intent, when evaluating governance maturity.
For NHI Management Group, usage data is one of the clearest ways to separate genuine stewardship from shelfware. In practice, many security teams discover weak adoption only after an access review, incident, or audit exception exposes that the platform has been underused all along.
How It Works in Practice
Effective governance adoption measurement starts with platform telemetry. Security teams should track who is logging in, which services or identities are being onboarded, which assets are receiving policy coverage, and whether workflows such as approvals, rotation, or attestation are actually executed. This is especially relevant for NHIs because control value depends on whether the platform is used at the point of secret issuance, lifecycle management, and access review.
A practical approach is to compare usage across three layers: administrative adoption, control adoption, and asset adoption. Administrative adoption asks whether stewards and operators are active. Control adoption asks whether core functions such as rotation, discovery, and policy enforcement are being used. Asset adoption asks whether the high-risk systems that matter most are actually connected. The Top 10 NHI Issues is useful here because it frames common failure points such as stale credentials, weak visibility, and over-privileged access.
- Measure active users versus licensed users to identify shelfware.
- Track onboarding rates for the most critical NHIs and secrets first.
- Review whether rotation and approval workflows are completed, not just configured.
- Check whether visibility extends to shadow assets, third-party connections, and delegated workflows.
Usage should also be interpreted against process design. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is relevant because adoption often improves when governance is embedded into onboarding, rotation, and decommissioning instead of treated as a separate task. Where measurable adoption is low, current practice suggests changing the workflow first, then retraining users around that workflow. These controls tend to break down when ownership is fragmented across platform, security, and application teams because no single group is accountable for routine usage.
Common Variations and Edge Cases
Tighter usage monitoring often increases operational overhead, so organisations have to balance visibility against reporting noise and privacy concerns. That tradeoff is real, especially when governance platforms span multiple business units or contain sensitive service metadata. Best practice is evolving here, and there is no universal standard for how much usage telemetry is enough.
One common edge case is a platform that is heavily used by security administrators but lightly used by application teams. That can create a false sense of maturity because the tooling looks active while control coverage remains narrow. Another is delegated stewardship, where local teams interact with the platform through shared automation. In that case, raw login counts understate adoption, so teams should measure completed governance actions instead.
For audit-heavy environments, it helps to connect usage data to evidence of control performance, not just engagement. The Ultimate Guide to NHIs — Regulatory and Audit Perspectives is useful because it links adoption to reviewability and defensibility. In mature programmes, platform usage becomes a leading indicator of whether governance is embedded or still aspirational. Where third-party integrations or federated owners are involved, adoption metrics can look healthy while critical assets remain outside the control boundary.
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 |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | Governance outcomes depend on knowing which assets and workflows are actually in use. |
| NIST CSF 2.0 | GV.RM-03 | Adoption metrics help distinguish control effectiveness from policy-only maturity claims. |
| OWASP Non-Human Identity Top 10 | NHI-05 | Visibility into active NHIs and assets supports detection of weak lifecycle governance. |
Track real platform usage to confirm governance controls are operating where risk exists.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org