Security teams should measure credential risk as a trend, not a snapshot. Track the same risk categories over weekly or monthly intervals, compare the direction of change, and tie findings to remediation owners. If exposure stays flat or rebounds after cleanup, the programme is producing activity but not control improvement.
Why This Matters for Security Teams
Credential risk only matters if it is trending down in a way that changes exposure, not if a dashboard merely looks cleaner for a week. For NHI programmes, the practical question is whether secrets are being removed from long-lived storage, rotated on time, scoped correctly, and revoked when no longer needed. The control objective aligns with OWASP Non-Human Identity Top 10 guidance and the evidence base in NHIMG research such as Guide to the Secret Sprawl Challenge, where hidden copies and stale credentials are a recurring failure mode.
Security teams often overcount activity such as rotations completed, scans run, or tickets closed, while undercounting whether actual exposure declined. A better measure is the reduction in risky inventory, especially secrets with excessive lifetime, duplicate storage, over-privilege, or unclear ownership. Mature programmes also tie each reduction to a remediation owner and verify that the same asset does not reappear in the next review cycle.
In practice, many security teams discover credential risk only after a stale token or leaked key has already been reused in an incident, rather than through deliberate trend measurement.
How It Works in Practice
Start with a repeatable baseline, then measure the same risk categories at a fixed cadence, usually weekly or monthly. Current guidance suggests tracking trend lines for credential age, rotation compliance, privilege scope, unused secrets, hardcoded secrets, and secrets without an accountable owner. The purpose is not to count every credential equally, but to identify whether the organisation is shrinking the set that can be abused.
A practical metric stack usually includes:
- Percentage of secrets older than policy allows
- Number of exposed or externally reachable secrets
- Number of privileged credentials lacking rotation or JIT issuance
- Number of secrets with no owner or no expiry
- Mean time to remediate high-risk findings
Use the same measurement definition every cycle so the trend is comparable. If a secret was found in source control, a pipeline artifact, or a container image, it should remain in the same risk bucket until the exposure path is actually removed. That aligns with the control logic in NIST SP 800-53 Rev 5 Security and Privacy Controls, which expects continuous monitoring and corrective action rather than one-time cleanup.
For operational context, NHIMG research in The 2024 ESG Report: Managing Non-Human Identities found that 72% of organisations have experienced or suspect they have experienced a breach of non-human identities. That is why trend measurement must show whether the risky population is shrinking, not just whether teams are busy. These controls tend to break down when inventories span CI/CD, cloud, and developer tooling because the same secret can exist in multiple places and appear “fixed” in one system while remaining live in another.
Common Variations and Edge Cases
Tighter credential controls often increase operational overhead, so teams have to balance faster remediation against developer friction and service availability. That tradeoff is real, especially where automated jobs, legacy applications, or third-party integrations cannot yet support short-lived credentials.
Best practice is evolving on how to score different exposures, but there is no universal standard for this yet. Some teams weight internet-exposed secrets more heavily than internal-only secrets; others give priority to credentials with broad API permissions or no expiry. The important point is consistency: if the scoring model changes every month, the trend becomes meaningless.
Edge cases include break-glass accounts, shared service identities, and legacy systems that cannot rotate without downtime. Those should be tracked separately, with explicit exception owners and review dates, rather than folded into the main risk trend. A useful signal is whether exceptions are shrinking over time or simply being renewed.
Where this breaks down most often is in environments with shadow IT and unmanaged developer tooling, because secrets reappear outside central controls before remediation can complete. In those cases, the right metric is not only how many findings were closed, but how many are being prevented from re-entering the environment.
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 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-03 | Tracks stale and overexposed NHI credentials, central to measuring risk reduction. |
| NIST CSF 2.0 | ID.AM-1 | Asset inventory is needed before trend metrics can prove credential risk is declining. |
| NIST AI RMF | Risk monitoring and measurement support ongoing evaluation of credential-related AI governance. | |
| CSA MAESTRO | Agentic and workload credentials need continuous measurement of exposure and lifecycle drift. |
Measure credential age and rotation compliance, then reduce the count of high-risk secrets each cycle.
Related resources from NHI Mgmt Group
- How should security teams measure whether identity governance is actually reducing risk?
- How should security teams measure whether authorization is actually reducing risk?
- How should security teams measure whether identity security maturity is actually reducing risk?
- How should security teams measure whether AI is helping rather than hiding risk?
