Security teams should use an identity graph to trace effective access, not just direct permissions. The graph reveals how groups, inherited roles, delegation, OAuth grants, and application trust combine to expose resources. That makes it easier to remove redundant paths, validate ownership, tighten least privilege, and focus remediation on the relationships that actually create excessive access.
Why Identity Graphs Change the Access Review Problem
An identity graph is useful because indirect access often hides in relationships, not in a single permission entry. Groups, inherited roles, delegated admin paths, OAuth grants, service-to-service trust, and nested application entitlements can combine into effective access that looks harmless if teams inspect only direct assignments. That is why graph-based analysis matters: it turns scattered identity records into a relationship model that can be queried for blast radius, privilege chains, and ownership gaps.
For teams trying to reduce indirect access risk, the key shift is from "who has this role?" to "what paths can reach this resource?" That distinction matters most in large enterprises where access drifts across directories, SaaS applications, and cloud platforms faster than manual reviews can keep up. NHIMG’s guidance on NHI visibility also shows why this problem stays hidden: only 5.7% of organisations report full visibility into their service accounts, which means relationship-based exposure is often easier to miss than direct privilege. In practice, many security teams discover overexposure only after a review, audit, or incident exposes how many access paths had accumulated unnoticed.
Used well, the graph becomes a decision aid for remediation rather than just an inventory view. It helps security and IAM teams separate structural inheritance from truly excessive access, identify owners who can approve changes, and find when a low-privilege account can still reach sensitive systems through delegation or token-based trust.
How to Use the Graph to Trace Effective Access
Security teams should build and query the identity graph around effective access paths, not just records in a directory. The practical goal is to model the chain from identity to entitlement to resource, including every relationship that can widen access along the way. That usually means ingesting identities, groups, roles, app assignments, federated trust, privileged delegation, and key application or API grants, then normalising them so the same user, workload, or service account can be analysed across systems.
Once the graph is usable, teams can ask better questions. For example: which identities can reach production data through inherited group membership; which service accounts gain access because an admin role was delegated through an application; and which OAuth or API grants create access that is no longer obvious from the source account’s own privileges. This is where graph analysis beats spreadsheet reviews, because it exposes transitive paths and hidden fan-out across shared trust relationships.
- Trace every sensitive resource back to all reachable identities, not just the explicit owner list.
- Flag paths that depend on nested groups, cross-tenant trust, delegated consent, or stale app grants.
- Separate intended inheritance from accidental accumulation so reviewers can focus on changes that actually reduce exposure.
- Use ownership metadata to assign each high-risk path to a team that can revoke, replace, or narrow it.
For broader NHI environments, this same method helps uncover service accounts and tokens that inherit access through application trust rather than direct assignment, which is why graph analysis pairs well with lifecycle controls like rotation, offboarding, and approval review. The OWASP Non-Human Identity Top 10 is a useful complement because it frames the control problems around exposed secrets, over-privilege, and lifecycle gaps, while the NHI Mgmt Group’s Ultimate Guide to NHIs provides the broader governance context for inventory and visibility. These controls tend to break down when identity data is fragmented across multiple directories and SaaS apps because the graph becomes incomplete and effective access cannot be reconstructed reliably.
Where Identity Graphs Help Most and Where They Mislead
Tighter graph-based review often increases operational overhead, so teams need to balance depth against freshness and data quality. The graph is strongest when access paths are complex, when privilege inheritance is common, and when indirect access creates audit blind spots. It is weaker when relationship data is stale, when app-level entitlements are opaque, or when a platform exposes permissions in ways the graph cannot parse cleanly.
Current guidance suggests treating the graph as a prioritisation layer, not as the only source of truth. In high-change environments, a graph can show where to investigate first, but the final decision still depends on authoritative system records and business ownership. That is especially important for temporary delegations, break-glass access, and machine or workload identities, where a path may be legitimate but still time-bounded and therefore easy to misclassify if the graph is not refreshed quickly.
Teams also get into trouble when they use graph output to remove access without checking whether the access is inherited by design or embedded in a critical workflow. The right standard is not "fewest paths possible"; it is "every path is explainable, owned, and justified for its business function." When that standard is missing, the graph becomes a reporting tool instead of a control.
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 and MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Secrets and Credential Management | Identity graphs expose indirect credential and grant paths behind NHI access. |
| NHI-02 — Inventory and Discovery | The question centers on discovering effective access across identities and apps. | |
| NHI-05 — Authorization and Least Privilege | Identity graphs are used to reduce excessive effective access and inherited privilege. | |
| Recommendation — Trace indirect credential paths and revoke exposed non-human access chains. Maintain a complete inventory so graph queries cover all reachable identities. Use graph findings to trim inherited and delegated access to least privilege. | ||
| NIST CSF 2.0 | PR.AC-4 — Access Permissions Management | Indirect access risk is driven by excessive or unmanaged permissions paths. |
| GV.RM-3 — Risk Management Strategy | Graph-based access reduction supports enterprise risk prioritisation and governance. | |
| Recommendation — Review effective access paths and remove permissions that exceed business need. Prioritise remediation for graph paths that create the highest access risk. | ||
| CIS Controls v8 | 6.3 — Access Rights Management | Graph analysis directly supports identifying and removing unnecessary access rights. |
| 5.2 — Active Account Management | Effective access depends on knowing which identities and accounts remain active. | |
| Recommendation — Remediate inherited and delegated access rights that create excessive exposure. Disable stale accounts and eliminate accounts that still inherit sensitive access. | ||
| MITRE ATT&CK | T1078 — Valid Accounts | Indirect access paths can be abused when valid accounts retain excess reach. |
| Recommendation — Hunt for valid-account paths that enable unintended reach into sensitive systems. | ||
Practitioner Guidance
What to prioritise: Focus first on graph paths that reach production data, admin planes, or high-value SaaS apps through inheritance, delegation, or third-party trust. Those are the paths most likely to create broad indirect exposure while appearing benign at the source account level.
What to verify: Verify that each sensitive access path has a clear owner, a business justification, and a revocation point. If the path cannot be explained in those terms, treat it as a candidate for least-privilege reduction or access redesign.
Common mistake: Teams often clean up direct permissions while leaving nested groups, app consent, and delegated trust untouched. That removes visible clutter but leaves the effective access chain intact.
What good looks like: High-risk paths should be few, attributable, and reviewable, with graph queries able to show exactly why an identity can reach a sensitive resource. When indirect access is working well, remediation decisions are based on transitive exposure, not on static role names.
Practitioner takeaway: The value of an identity graph is not completeness for its own sake; it is the ability to make hidden access paths legible enough that teams can remove real exposure without breaking legitimate dependency chains.
Related resources from NHI Mgmt Group
- How should security teams use endpoint and identity telemetry to reduce access risk across hybrid environments?
- How should security teams use identity intelligence to reduce breach risk in environments with many accounts and privileges?
- How should security teams use vishing simulations to reduce human risk in enterprise environments?
- How should security teams reduce the risk of privilege abuse from misconfigured access control lists in hybrid identity environments?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
