Teams should model effective authority as the combined result of roles, groups, delegated access, credentials and cross-system relationships. A single entitlement list is not enough because it hides inherited reach. The right approach is to calculate who can actually exercise power across systems, then prioritise remediation where authority concentration creates the largest blast radius.
Why This Matters for Security Teams
Measuring authority beyond direct permissions matters because the permission set that appears on paper is rarely the authority an identity can actually exercise. Roles, nested groups, delegated admin paths, token scope, service-to-service trust, and cross-system relationships can all expand reach far beyond a single entitlement list. That is why NHI Management Group reports that 97% of NHIs carry excessive privileges, and why the OWASP Non-Human Identity Top 10 treats over-privilege as a recurring failure mode rather than an edge case.
The practical risk is blast radius. A service account with modest local permissions may still inherit write access through a group, assume a role in another account, or mint tokens that outlive the original session. If teams only review direct grants, they miss the chain that turns a narrow identity into a broad control point. NHI Management Group’s Ultimate Guide to NHIs — Key Challenges and Risks also shows that only 5.7% of organisations have full visibility into service accounts, which makes hidden authority especially likely to persist.
In practice, many security teams discover effective authority only after a compromised credential has already moved laterally through inherited relationships and cross-system trust.
How It Works in Practice
The right measurement model starts with the identity, then expands outward to every path by which that identity can act. That includes direct entitlements, group membership, delegated roles, token exchange, API scopes, service account impersonation, workload federation, and administrative relationships between systems. The goal is not just to count permissions, but to calculate what actions are actually reachable at runtime.
For most teams, that means building an authority graph. Each node represents an identity, system, or resource. Each edge represents a usable relationship such as assume-role, impersonate, delegate, invoke, or mint-token. Once those edges are mapped, teams can score effective authority by looking at:
- How many systems the identity can reach indirectly
- Whether the path includes privileged escalation steps
- How long those privileges remain valid
- Whether the identity can create new credentials or delegate further access
- Whether access is conditional on context, or permanently available
This is where direct-permission review fails. A static export from IAM may say an identity can only read one bucket, but the same identity could also call a workflow that assumes a broader role, or use a token minted by a pipeline with elevated trust. Current guidance from the OWASP Non-Human Identity Top 10 and NHI Management Group’s research supports analysing the full trust chain, not just the first-hop grant. Mature programmes also pair this with secret inventory, because authority is often amplified by long-lived credentials that remain valid long after the original task is complete.
Teams should prioritise remediation based on effective reach, not ticket count. An identity with fewer direct permissions but broad delegated control is usually a higher-risk target than a noisy account with many low-impact grants. These controls tend to break down in multi-cloud and CI/CD-heavy environments because trust relationships are distributed, transient, and often undocumented.
Common Variations and Edge Cases
Tighter authority modelling often increases operational overhead, requiring organisations to balance visibility against the cost of mapping every trust path. That tradeoff is especially real in environments with frequent automation, ephemeral workloads, and third-party integrations.
Some edge cases deserve special handling. Shared service accounts can inflate apparent authority because multiple applications reuse the same identity. Break-glass accounts may be intentionally broad, but they still need separate measurement so they do not distort the baseline. Cross-account access in cloud platforms is another common exception: the direct role may look small, while the trust policy behind it opens much larger reach. Guidance is still evolving on how best to score these relationships consistently across platforms, so teams should label their methodology clearly rather than treating one vendor’s entitlement view as authoritative.
For NHI programmes, a useful rule is to measure both granted authority and exercised authority. The first shows what could be done; the second shows what is actually being used. NHI Management Group’s Ultimate Guide to NHIs — Key Challenges and Risks is a strong reference point for understanding why excessive privilege and poor visibility so often appear together. The practical limitation is that authority graphs can become stale quickly when infrastructure changes faster than the review cycle, especially in autonomous pipelines and dynamic cloud estates.
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 |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Authority beyond direct permissions exposes hidden NHI privilege paths. |
| NIST CSF 2.0 | PR.AC-4 | Effective authority measurement supports least-privilege access governance. |
| NIST AI RMF | Runtime authority analysis supports risk management for autonomous systems. |
Review actual reachable access, not just assigned entitlements, during access recertification.
