It is useful when it shows a clear mismatch between assigned access and actual feature use, inactive seats, or users holding higher tiers than their work requires. Those signals should feed entitlement review, recertification, and downgrade decisions. If the data cannot change access, it is only reporting.
Why This Matters for Security Teams
License usage data only helps IAM when it can drive a decision: remove access, downgrade entitlement, or confirm that access is justified. Without that link, usage reports become noise for finance or application owners, not an IAM control. Current guidance suggests treating usage as evidence of real demand, then pairing it with policy and recertification to reduce entitlement bloat and hidden privilege.
This matters because access decisions often lag behind actual work patterns. A user can retain a premium license or privileged role long after they stop using the feature set that justified it, while another user may quietly need a higher tier for a new workflow. NIST’s NIST Cybersecurity Framework 2.0 emphasises governance and continuous improvement, which is the right lens here: usage data should inform control changes, not sit in a dashboard. NHIMG research shows that 88.5% of organisations acknowledge their non-human IAM practices lag behind or are merely on par with human IAM efforts, which is a strong signal that many teams still lack the discipline to convert evidence into access action. The same pattern appears in software licensing and identity operations, just with a different label.
In practice, many security teams encounter over-assigned access only after renewal, audit, or incident review has already exposed the gap, rather than through intentional entitlement management.
How It Works in Practice
Teams should look for usage patterns that are actionable, not merely descriptive. The useful signals are clear mismatches between assigned access and actual feature use, inactive seats, and repeated use of lower-tier capabilities when a user is provisioned for a higher tier. That data becomes IAM input when it feeds an entitlement review, a recertification workflow, or an automated downgrade recommendation. The control question is simple: can the data change access decisions at the next review cycle?
Practical IAM teams usually combine several views: product telemetry, directory attributes, HR status, approval history, and role membership. That combination helps distinguish between a user who is inactive because of leave, a user who is temporarily not using a feature, and a user whose role was never updated after a job change. The Ultimate Guide to NHIs — Key Research and Survey Results is useful here because it shows how often identity signals are incomplete or mismanaged in real environments, which is a reminder that usage data is only as useful as the surrounding governance. For broader identity governance context, the NIST CSF 2.0 governance function and continuous monitoring concepts are helpful, and the same logic applies to access reviews for SaaS licenses and internal applications.
- Use usage thresholds to trigger review, not automatic removal without context.
- Separate feature-level usage from account-level activity.
- Map each tier or entitlement to a business justification.
- Require recertification when usage drops below a defined baseline.
- Make downgrade or removal the default outcome when justification is absent.
This guidance tends to break down in shared accounts, pooled licenses, and environments where product telemetry is incomplete because usage cannot be reliably tied to a single identity or business purpose.
Common Variations and Edge Cases
Tighter license-to-access controls often increase operational overhead, requiring organisations to balance cleaner entitlement governance against false positives and review fatigue. That tradeoff is real, especially when users have seasonal workflows, project-based access, or bursty usage that looks inactive in short reporting windows.
There is no universal standard for this yet, so current guidance suggests using usage data as one input in a broader IAM decision model. For example, a user may not log into a premium feature for 60 days but still need it for quarterly reporting, while another may show frequent usage through automation or delegated workflows rather than direct human action. In those cases, the decision should consider approval history, manager validation, and whether the entitlement supports a documented business process.
Edge cases also appear when usage is tied to service accounts, bots, or delegated agents. In those environments, usage can indicate functional need, but it should not be confused with human adoption or seat efficiency. For identity governance teams, the best outcome is a policy that defines when usage data is strong enough to justify downgrade, when it only supports review, and when it should be ignored because the account type is non-interactive. NHIMG’s Azure Key Vault privilege escalation exposure research is a reminder that privilege signals can be misleading if the underlying identity model is not well controlled. In practice, license usage becomes useful only when it reliably changes entitlement outcomes.
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 |
|---|---|---|
| NIST CSF 2.0 | PR.AA-01 | Identity and access decisions should be based on verified usage evidence. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Shows how entitlement drift creates excess access over time. |
| NIST AI RMF | MAP | Governance requires clear evidence before changing automated access decisions. |
Use usage telemetry to support access verification and entitlement review decisions.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
