They need to analyse the directory as a graph of reachable control, not a list of assigned roles. That means tracing how permissions, group relationships, and delegated admin rights combine across users, computers, trusts, and policies. The goal is to remove short routes to administrative takeover before they become exploitable.
Why This Matters for Security Teams
privilege escalation rarely starts with a loud exploit. It usually starts with an over-connected identity path: a service account that can edit a group, a delegated admin right buried in a policy, or a trust that quietly extends reach across domains and clouds. IAM teams that only review assigned roles miss how control actually composes in the directory. The result is that attackers do not need to guess where the crown jewels are. They follow the shortest path to them.
This is especially acute in environments with mixed human and non-human access. NHIMG’s 2024 Non-Human Identity Security Report found that 88.5% of organisations say non-human IAM lags behind or merely matches human IAM maturity, which helps explain why hidden reachability persists. For a practical baseline on identity exposure patterns, the OWASP Non-Human Identity Top 10 is useful, but it should be read as a starting point rather than a complete attack-path model.
In practice, many security teams discover escalation paths only after a delegated control has already been abused and an apparently low-privilege account has become administrative.
How It Works in Practice
The practical answer is to model the directory and supporting control plane as a graph, then ask a simple question: what can reach what, and through which chain of delegation? That means combining users, groups, service principals, computers, admin roles, conditional access, trusts, and policy objects into one reachable-control map. The important shift is from entitlement review to path analysis.
A useful workflow is:
- Ingest identities, nested groups, role assignments, ACLs, delegated admin rights, and trust relationships.
- Mark the accounts and systems that can modify authentication, authorization, or policy state.
- Trace whether a standard account can become a group manager, a policy editor, a token issuer, or a local admin on a jump host.
- Rank paths by blast radius, ease of abuse, and whether the path crosses into secrets stores or cloud control planes.
This approach aligns with identity-centric guidance from the NIST Cybersecurity Framework 2.0, especially where asset visibility and access management must be tied to operational risk. For real-world non-human identity abuse patterns, NHIMG’s 52 NHI Breaches Analysis shows how exposed credentials and excessive reach often combine before a full compromise is visible.
The best teams then remove or break the shortest paths first. That can mean stripping group write permissions, removing standing delegated admin rights, isolating tier-0 systems, or changing policy so service identities cannot manage the very resources they authenticate to. Path reduction works best when paired with continuous rescan after every directory change, because a single new delegation can recreate a previously closed route. These controls tend to break down in large hybrid environments with stale group nesting and unmanaged trust edges because the graph changes faster than quarterly access reviews.
Common Variations and Edge Cases
Tighter path control often increases operational overhead, requiring organisations to balance faster administration against lower escalation risk. That tradeoff becomes visible in environments with many exceptions, inherited ACLs, and legacy applications that still depend on broad service account access.
There is no universal standard for how much path reduction is enough. Current guidance suggests prioritising the routes that lead to privilege amplification, policy modification, or secrets access, then treating the remaining paths as lower-risk technical debt rather than ignoring them. This is where NHI-specific research is valuable: the Top 10 NHI Issues and the Ultimate Guide to NHIs — Key Challenges and Risks both reinforce that hidden trust, weak secrets handling, and excessive standing access are recurring failure modes.
Edge cases include cross-forest trusts, cloud directory sync, and local admin sprawl on endpoints. In those environments, a path that looks harmless in one platform can become critical once combined with another platform’s delegated control. The practical safeguard is to validate paths across identity systems together, not in silos, because attackers do not respect product boundaries.
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-03 | Path exposure often starts with long-lived, over-privileged NHI access. |
| NIST CSF 2.0 | PR.AC-4 | Access permissions must be reviewed as effective reach, not just assigned roles. |
| NIST AI RMF | Risk mapping and monitoring fit AI RMF governance for dynamic access relationships. |
Find and reduce reachable NHI privileges, then replace standing access with scoped, short-lived issuance.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on July 8, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org