What breaks when permissions are reviewed without a graph of relationships?

Reviewing permissions in isolation misses inherited access, shared dependencies, and downstream entitlements that survive role changes or offboarding. Without relationship context, teams certify accounts while leaving hidden pathways intact. That is how excessive access remains in place even after formal review cycles complete.

Why This Matters for Security Teams

Permissions reviews fail when they treat access as a flat list instead of a set of relationships. A service account may inherit rights through groups, nested roles, resource policies, delegated trust, or shared tokens, so a reviewer can approve the account while missing the pathways that actually create exposure. That is especially dangerous for NHI governance, where access often persists beyond the original business need.

Current guidance suggests that review workflows should be able to explain not just who has access, but why access exists and what else depends on it. Without that graph of relationships, offboarding becomes partial, privilege creep becomes invisible, and inherited entitlements survive long after owners believe they are gone. This is why relationship-aware visibility matters more than periodic certification alone. The Ultimate Guide to NHIs — Key Challenges and Risks notes that 97% of NHIs carry excessive privileges, which is exactly the kind of condition that isolated reviews miss.

For practitioners, the practical issue is not whether a permission exists, but whether it can still be reached through another path after a role change, ownership transfer, or deprovisioning event. In practice, many security teams encounter hidden access only after an incident review, rather than through intentional certification.

How It Works in Practice

A relationship graph makes permissions review operational instead of clerical. Instead of asking whether an account has an entitlement, teams map the account to its parents, peers, and dependents: human owner, workload owner, group memberships, service-to-service trust, cloud policy inheritance, secret usage, and downstream systems that consume the identity. That graph lets reviewers see whether an entitlement is direct, inherited, transitive, or effectively dormant.

In mature implementations, this means integrating IAM, cloud control planes, directories, PAM, secrets systems, and application inventories into a single relationship model. The goal is not just visibility, but decision quality. Reviewers can then ask whether the identity still needs the access, whether the access is justified by current function, and whether removing it will break a service dependency. NIST’s SP 800-53 Rev. 5 Security and Privacy Controls supports this kind of accountability through access review and least-privilege expectations, while the OWASP Non-Human Identity Top 10 highlights the specific risks created when NHI ownership, rotation, and usage are not continuously understood.

• Model inherited access separately from direct grants so reviewers can see the true source of privilege.
• Link each service account or token to an owner, workload, and dependency chain before certification starts.
• Flag transitive entitlements and shared secrets as review items, not as background noise.
• Revoke access in stages when dependencies are unclear, then validate service health after each change.

This approach works best when relationship data is current and systems are instrumented consistently; it breaks down in fragmented environments where cloud, SaaS, and on-prem identity records are not reconciled, because the graph then becomes incomplete and reviewers trust a partial picture.

Common Variations and Edge Cases

Tighter relationship-based review often increases operational overhead, requiring organisations to balance access assurance against data quality and change-management cost. That tradeoff is real: the more dynamic the environment, the harder it is to maintain an accurate graph without automation.

There is no universal standard for this yet, but current guidance suggests different handling for different identity types. Human access reviews can often rely on role and manager context, while NHIs, shared service accounts, and machine-to-machine credentials need stronger dependency mapping because their permissions are frequently indirect and persistent. A token or secret may look harmless in isolation yet still unlock downstream systems through a trusted workflow or delegated API chain. The Ultimate Guide to NHIs — Key Challenges and Risks is useful here because it frames the broader visibility gap behind hidden privilege, not just the review event itself.

Two edge cases deserve special attention. First, break-glass and emergency access should be excluded from routine certification only if there is separate logging and post-use review. Second, offboarding can look complete while a downstream automation still holds a valid credential or cloud trust relationship. That is why relationship-aware revocation matters as much as relationship-aware review. Where organisations rely on manual spreadsheets or ticket comments to track dependencies, the process usually fails as soon as ownership shifts or an integration is rebuilt.

Related resources from NHI Mgmt Group

• What breaks when Intune wipe permissions are overexposed?
• What breaks when a browser extension can modify downloads without special permissions?
• What breaks when OAuth permissions are only reviewed manually?
• What breaks when access relationships are only reviewed through spreadsheet exports?