Subscribe to the Non-Human & AI Identity Journal

How can teams tell whether cyber hygiene is actually improving?

They should look for identity-focused outcomes, not just infrastructure counts. Useful signals include fewer permanent privileged accounts, better rotation discipline, tighter access scope, complete logging for machine identities, and measurable offboarding of stale credentials. If those indicators do not move, the programme is reducing noise more than risk.

Why This Matters for Security Teams

Cyber hygiene is only improving if identity risk is shrinking, not if dashboards simply show more scans, more tickets, or fewer open findings. That means measuring whether permanent privilege is going down, rotation is happening on time, secrets are being removed from exposed locations, and service accounts are leaving the environment when they should. NHI Management Group’s Ultimate Guide to NHIs — Why NHI Security Matters Now highlights why this matters: NHIs outnumber human identities by 25x to 50x in modern enterprises, so a weak identity baseline can hide behind apparently healthy infrastructure metrics.

Security teams often get misled by control completion rather than control effect. A vault rollout, a secrets scan, or a new access review process can look like progress while long-lived credentials remain valid, overprivileged, and reused across pipelines. Current guidance from CISA cyber threat advisories and NHI Mgmt Group’s Top 10 NHI Issues both point to the same practical problem: if identities are still easy to misuse, hygiene has not improved in any meaningful way. In practice, many security teams encounter credential exposure only after an incident reveals how much “clean-up” was actually cosmetic.

How It Works in Practice

Teams should define hygiene in operational terms, then track movement over time. The most useful signals are identity-centric: fewer permanent privileged accounts, shorter credential lifetimes, broader use of JIT access, tighter privilege scope, and complete logging for machine identities. That shifts the question from “How many tools are deployed?” to “How much attack surface still exists?”

A practical scorecard usually combines these checks:

  • Permanent privileged accounts are being replaced with time-bound access and approval workflows.
  • Secrets are stored in managed systems, not in code, CI/CD variables, or config files.
  • Rotation happens on schedule, with exceptions tracked and justified.
  • Stale service accounts and API keys are discovered, then revoked or re-owned.
  • Machine identity activity is visible enough to support incident response and access review.

The NHI Mgmt Group Ultimate Guide to NHIs — Key Challenges and Risks notes that 71% of NHIs are not rotated within recommended time frames, which is a good example of why hygiene metrics need to focus on outcome, not process volume. If rotation automation is working, that percentage should fall, not just the number of tickets created. For stronger validation, teams can pair this with the policy and threat context in MITRE ATLAS adversarial AI threat matrix, especially where autonomous tooling can chain access quickly.

One useful benchmark from NHI Mgmt Group is that only 5.7% of organisations have full visibility into their service accounts, so visibility should be measured as a coverage ratio, not assumed from tool deployment. These controls tend to break down when identities are duplicated across environments and ownership is unclear, because no single team can prove whether a credential is still needed.

Common Variations and Edge Cases

Tighter identity hygiene often increases operational overhead, requiring organisations to balance fast delivery against stricter control of access and secret lifecycle. That tradeoff becomes visible in environments with many short-lived workloads, third-party integrations, or release pipelines that change daily.

Current guidance suggests treating edge cases differently rather than exempting them by default. For example, break-glass accounts may remain permanent, but they should be rare, monitored, and tested. Shared service identities may still exist in legacy systems, but their scope should be narrowed and their use heavily audited. In hybrid estates, a partial view is still useful if it shows trend lines, but it should not be mistaken for complete hygiene.

NHI Mgmt Group’s 52 NHI Breaches Analysis reinforces a key point: weak hygiene usually looks normal right up until it becomes an incident. The same pattern appears in AI-driven environments, where automated tooling can amplify weak identity controls far faster than human workflows do. Best practice is evolving, but the test remains simple: if credential sprawl, excess privilege, and stale access are still present, then hygiene is not yet improving in a durable way.

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
OWASP Non-Human Identity Top 10 NHI-03 Covers rotation and lifecycle hygiene for non-human credentials.
NIST CSF 2.0 PR.AC-4 Measures whether access is limited and reviewed as hygiene improves.
NIST CSF 2.0 DE.CM-8 Supports continuous monitoring of identities and anomalous machine activity.

Monitor service account and secret usage so stale or risky identity behavior is detected quickly.