They should look for measurable coverage of privileged accounts, consistent enforcement across environments, short approval and rotation cycles, and fewer manual exceptions. If privileged activity still depends on informal processes or tickets outside the platform, the control is not yet governing the risk it was meant to reduce.
Why This Matters for Security Teams
PAM is only reducing risk if it measurably changes how privilege is granted, used, and revoked. Teams often celebrate a vault rollout or approval workflow without checking whether privileged access is actually shrinking across cloud, endpoints, CI/CD, and break-glass paths. That gap matters because privileged identities are still a primary path for compromise, especially when secrets remain static or unmanaged. NHI Management Group notes that only 5.7% of organisations have full visibility into their service accounts in the Ultimate Guide to NHIs, which makes risk reduction hard to prove and easy to overstate.
The right question is not whether PAM exists, but whether it is reducing exposed privilege, enforcing consistent controls, and lowering the number of exceptions that bypass governance. That is why current guidance suggests measuring outcomes, not tool adoption, and mapping them to access governance baselines such as the NIST Cybersecurity Framework 2.0. In practice, many security teams discover PAM is decorative only after an incident shows that the real privileged path was still a ticket, a script, or a shared credential outside the platform.
How It Works in Practice
Organisations should judge PAM by control coverage and control quality. Coverage asks whether the platform governs all privileged accounts, service accounts, and emergency access paths. Quality asks whether access is short-lived, approvals are consistent, credentials rotate on schedule, and sessions are recorded or brokered where required. If a privileged action can still happen through a local admin account, a cloud console exception, or a pipeline secret, the control is not governing the full risk surface.
A practical review usually combines four checks:
- Inventory all privileged identities, including human admins, service accounts, and machine credentials.
- Compare actual privileged use against the approved PAM workflow, not just assigned entitlements.
- Measure how often access is granted just in time, how quickly it expires, and how often it is extended.
- Track rotation, session logging, and exception rates by environment rather than by business unit alone.
For NHI-heavy environments, this becomes even more important because privileged access is often embedded in automation. The Top 10 NHI Issues and the OWASP NHI Top 10 both reinforce the same operational point: secrets and privilege must be governed at the workload level, not just the user level. Where implementation detail is needed, teams often pair PAM with workload identity and policy enforcement rather than relying on a single approval layer. These controls tend to break down when cloud, legacy infrastructure, and CI/CD each use different privilege models because enforcement becomes fragmented and exceptions accumulate.
Common Variations and Edge Cases
Tighter PAM often increases operational overhead, requiring organisations to balance stronger control against incident response speed and administrator productivity. That tradeoff is real in environments with legacy systems, vendor support accounts, or 24/7 operations where every approval delay becomes a business issue. Best practice is evolving, but there is no universal standard for how much manual approval is acceptable in every context.
One common edge case is break-glass access. A mature program allows emergency privilege, but only with strong logging, short expiration, and post-use review. Another is service account governance, where PAM alone may not be enough if secrets are hard-coded, long-lived, or duplicated in multiple platforms. In those cases, risk reduction is usually better demonstrated by fewer standing privileges, shorter secret TTLs, and a clear drop in exception volume. The Ultimate Guide to NHIs — Key Challenges and Risks shows why this matters: excessive privilege and weak rotation remain common failure modes.
Where PAM metrics become misleading is highly dynamic environments such as cloud-native engineering, outsourced operations, or mixed human and machine administration. In those settings, the platform may look healthy while actual privileged work still happens through scripts, tokens, or shared accounts outside policy. That is the point where organisations should treat PAM as a control under test, not a control proven effective.
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.AC-4 | Access governance should show reduced privileged exposure, not just tool adoption. |
| OWASP Non-Human Identity Top 10 | NHI-03 | PAM often fails when non-human secrets and privileged identities stay long-lived. |
| NIST AI RMF | Risk management should validate whether privileged controls actually reduce operational risk. |
Review NHI-03 coverage to ensure machine credentials are vaulted, rotated, and governed with the same rigor as admin access.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
