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Governance, Ownership & Risk

What breaks when organisations cannot see which users are actually active in a security platform?

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By NHI Mgmt Group Editorial Team Updated August 27, 2026 Domain: Governance, Ownership & Risk

Without last-login visibility, administrators cannot tell whether adoption is broad, partial, or stalled after onboarding. That creates blind spots in value realisation, training follow-up, and licence or access hygiene. Teams may assume usage is healthy when a large share of users are inactive, which weakens governance over the platform itself.

Why This Matters for Security Teams

When a security platform cannot show which users are actually active, teams lose the ability to separate genuine adoption from dormant or abandoned access. That matters because inactive accounts distort licence planning, weaken offboarding hygiene, and hide training gaps that should have been corrected after rollout. It also makes access governance look healthier than it is, especially when privileged workflows depend on regular use. NIST’s guidance on auditability and access control in NIST SP 800-53 Rev 5 Security and Privacy Controls reinforces that visibility is not a nice-to-have; it is a control prerequisite.

NHIMG research on the Ultimate Guide to NHIs shows how quickly hidden access becomes a governance issue when organisations cannot inventory identities, usage, or revocation status with confidence. The same blind spot appears in security platforms: if administrators cannot tell who is active, they cannot tell whether onboarding succeeded, whether product value is being realised, or whether stale access is accumulating in the background. In practice, many security teams discover this only after renewal, audit, or incident review, rather than through intentional usage governance.

How It Works in Practice

Last-login visibility works as a simple but important control signal: it records when a user last authenticated, when they last used a feature, or whether they have never returned after provisioning. That data becomes useful only when it is tied to operational decisions. Teams can segment accounts into active, low-engagement, dormant, and never-used categories, then route each group into a different action path.

In a mature workflow, the platform should support:

  • Provisioning checks that confirm whether a new user ever completed first use.
  • Lifecycle reviews that flag accounts with no activity after a defined threshold.
  • Access hygiene steps that disable stale users or trigger manager confirmation.
  • Adoption reporting that distinguishes broad rollout from partial deployment.
  • Audit evidence that proves access reviews were based on actual usage, not seat counts.

This is especially important for security platforms that connect to broader identity and privilege systems. If a platform is protecting secrets, keys, or administrative workflows, then a dormant account can still be a live attack path even when it looks harmless. NIST’s access control expectations and NHIMG’s research on poor visibility into NHIs both point to the same operational lesson: identity state must be continuously observable, not assumed. For a broader identity governance lens, see The State of Non-Human Identity Security.

These controls tend to break down in federated environments where single sign-on hides downstream product activity, because authentication logs do not always equal meaningful platform use.

Common Variations and Edge Cases

Tighter visibility often increases operational overhead, requiring organisations to balance better governance against privacy, data quality, and admin effort. Not every platform can measure “active” in the same way, and current guidance suggests that teams should define activity based on the control objective rather than the vendor dashboard.

Common edge cases include users who authenticate once but never complete setup, admins who only appear during incident response, and service-linked human accounts that look idle but are intentionally infrequent. Some organisations also treat login recency as a proxy for adoption, which is useful but incomplete: a user may be highly active through API-driven workflows without ever opening the UI. Best practice is evolving here, and there is no universal standard for this yet.

Security teams should also be careful not to confuse inactivity with low risk. A dormant account tied to privileged access can be more dangerous than a busy standard user account if it is left enabled. NHIMG’s Schneider Electric credentials breach case material underscores how access that is no longer actively used can still remain exposed. The practical answer is to pair last-login data with role criticality, MFA status, and review cadence, then act on the combination rather than any single signal alone.

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 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-53 Rev 5 and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0PR.AC-1Active-user visibility depends on knowing who has access and whether it is still needed.
NIST SP 800-53 Rev 5AU-2Last-login visibility relies on audit events that show actual user activity over time.
OWASP Non-Human Identity Top 10NHI-02Dormant or untracked identities create the same visibility gap seen in NHI governance.
CSA MAESTROGOV-2Agent and workload governance depends on observable lifecycle state, not assumed adoption.
NIST AI RMFAI RMF emphasizes observability and governance, which apply to platform adoption and access health.

Use access reviews to remove dormant users and verify each account still has a current business purpose.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org