Yes. Different identity classes fail in different ways, so a single blended metric hides the control weaknesses that matter most. Human access, service access, and privileged access should be compared on lifecycle handling, review quality, and exception management so owners can see where governance is strongest and where it is drifting.
Why Separate Benchmarks Matter for Human, Service, and Privileged Access
Human, service, and privileged access behave differently enough that they should not be averaged into one benchmark. Human access is usually shaped by joiner-mover-leaver flow and reviewer quality, service access is shaped by sprawl, rotation, and ownership, and privileged access is shaped by escalation paths and control design. A blended metric can look healthy while one class is clearly drifting.
That separation is what makes the benchmark useful. If you track only a single access-health number, you cannot tell whether the problem is stale people access, unmanaged non-human credentials, or privileged roles that are accumulating risk faster than they are being reviewed. Separate views let owners compare like with like and act on the right failure mode.
Organisations also get better accountability when the benchmark reflects the control reality of each class. Human access tends to answer whether access decisions are timely and well-governed, service access tends to answer whether credentials and entitlements are lifecycle-managed, and privileged access tends to answer whether elevation is bounded and justified. Those are related questions, but they are not equivalent ones.
What to Compare Instead of Blending Everything Together
The most useful comparison is not raw volume but control quality. Benchmark each identity class on lifecycle handling, review quality, and exception management, then compare the trends over time. That gives you a clearer picture of whether governance is improving or merely shifting risk between classes.
For human access, look for recertification quality, exception aging, and how often access is removed without rework. For service access, look for discoverability, credential rotation, and whether owners can explain why the account exists at all. For privileged access, look for just-in-time use, session oversight, and whether standing privilege is being reduced rather than simply reassigned.
Where these classes overlap, keep the benchmark logic distinct anyway. A service account with broad rights may resemble privileged access in impact, but it still fails differently from a human admin account. The point of the benchmark is to expose those differences so the right owners can tighten the right control.
Separate benchmarking also works better when you need to compare business units or platforms. One team may manage human access well but struggle with service account inventory, while another may have excellent admin controls but weak exception discipline. The scorecard should make those patterns visible without masking them in an average.
How to Use the Separation in Governance and Reporting
Use the separate metrics to drive ownership decisions, not just reporting. When human access lags, the fix is often in review workflow, manager accountability, or approval quality. When service access lags, the fix is often in inventory, ownership, and renewal discipline. When privileged access lags, the fix is usually in elevation policy, session control, or emergency access design.
Benchmarking works best when each class has its own threshold for what “good” looks like. A high approval rate can be a warning sign for privileged access, while the same number might simply reflect normal employee provisioning. Likewise, a low exception count can be healthy in one class and misleading in another if exceptions are being hidden rather than removed.
Where organisations have mature access governance, the separate benchmark becomes a management signal, not just a control metric. It helps leadership see whether the estate is getting cleaner, whether exceptions are compounding, and whether ownership is keeping pace with change.
Risk and Threat Considerations
Blended access metrics can hide concentrated exposure, especially when service accounts or privileged roles are carrying more effective power than the human population around them. That creates a blind spot for overprivilege, stale access, and missed revocation, which are exactly the conditions that can turn routine access drift into material compromise.
Failure mechanism: When different identity classes are averaged together, a weak service-access or privileged-access control can be diluted by stronger human-access performance, leaving escalation paths and long-lived credentials underreported.
Impact: Organisations can misjudge control health, delay remediation, and leave high-impact access paths exposed longer than intended, increasing the likelihood and blast radius of misuse or compromise.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | AC-2 — Account Management | Separate benchmarks depend on distinct lifecycle handling by account type. |
| AC-6 — Least Privilege | Privileged and service access need distinct privilege baselines to reveal overprivilege. | |
| IA-5 — Authenticator Management | Service access benchmarking must include credential lifecycle, rotation, and expiry discipline. | |
| Recommendation — Track human, service, and privileged accounts separately under AC-2 and remove stale access by class. Apply AC-6 to compare effective privilege by identity class and reduce standing access. Use IA-5 to benchmark secret rotation, expiry, and ownership for service access. | ||
| ISO/IEC 27001:2022 | A.5.15 — Access control | Separate access benchmarks support access-control governance across different identity classes. |
| Recommendation — Define access-control measures by identity class and review them on a recurring cycle. | ||
| CIS Controls v8 | CIS-5 — Account Management | The question is fundamentally about comparing account classes and their control quality. |
| Recommendation — Maintain distinct account-management metrics for users, services, and privileged access. | ||
Practitioner Guidance
What to prioritise: Build separate baselines for human, service, and privileged access before you optimise dashboards. If the measures do not distinguish lifecycle, review, and exception handling by class, they will not support reliable ownership or remediation.
What to verify: Check that each class has its own definition of scope and its own evidence trail. For example, service access should be traceable to a system owner and renewal point, while privileged access should show when elevation was granted, for how long, and under what approval model.
Common mistake: Treating a single access KPI as proof of governance maturity. A single number often rewards averaging, not control strength, and it can make the riskiest population look acceptable because another population is performing better.
Practitioner takeaway: Benchmarking only works when it exposes the control differences that matter, so keep the populations separate enough to reveal where access is truly governed and where risk is accumulating.
Related resources from NHI Mgmt Group
- Should organisations prioritise service accounts or human accounts first in privileged access reviews?
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- What is the difference between reviewing human access and reviewing NHIs?