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25/06/2026 1:22 am
TL;DR: Identity governance metrics turn access review, least-privilege enforcement, JML, and audit evidence into measurable controls rather than activity logs, according to SecurEnds. The real issue is that governance programmes can look busy while still leaving overprivilege, delayed revocation, and weak accountability untouched.
NHIMG editorial — based on content published by SecurEnds: Identity governance KPIs and metrics for stronger security
Questions worth separating out
Q: How should security teams choose identity governance KPIs that actually reduce risk?
A: Start with metrics that change access state, not metrics that only describe workflow volume.
Q: Why do identity governance dashboards often fail to improve compliance?
A: They usually measure activity instead of control effectiveness.
Q: How do organisations measure whether least privilege is working?
A: Look for declining overprivileged users, fewer unused entitlements, lower counts of standing administrative accounts, and faster removal of unnecessary access during reviews.
Practitioner guidance
- Define KPI ownership by control outcome Assign each identity metric to a control owner who can change the underlying process, not just publish the report.
- Separate reporting volume from governance quality Track certification counts, but make risk reduction the primary measure by following up on revoked access, closed exceptions, and reduced privileged exposure.
- Measure lifecycle lag across all identity types Use provisioning time and access removal time to find where joiner, mover, and leaver workflows fail for employees, contractors, service accounts, and tokens.
What's in the full article
SecurEnds's full article covers the operational detail this post intentionally leaves for the source:
- Metric-by-metric breakdowns for access review, least privilege, JML, SoD, and audit reporting
- Practical examples of executive dashboards for risk, compliance, and operational efficiency
- Detailed KPI definitions for service accounts, dormant tokens, and machine identity visibility
- Guidance on baselining targets, quarterly review cadence, and remediation tracking
👉 Read SecurEnds's analysis of identity governance KPIs and metrics →
Identity governance metrics: which KPIs actually reduce risk?
Explore further
25/06/2026 10:44 am
Identity governance fails when organisations confuse activity with control. A dashboard full of certification counts and workflow volumes can still mask overprivilege, delayed revocation, and weak accountability. The discipline only matures when metrics are tied to risk reduction, audit outcomes, and operational change. Practitioners should judge governance by what access was removed and what exposure was reduced.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities.
A question worth separating out:
Q: Who should be accountable for identity governance metrics across IAM and NHI programmes?
A: Accountability should sit with the teams that can alter entitlements, workflows, and evidence collection, not only with the reporting function. IAM, security operations, compliance, and audit all consume the data, but remediation ownership must be assigned to the process that can actually remove access or close the control gap.
👉 Read our full editorial: Identity governance KPIs that expose risk, compliance, and efficiency
