Why do manual IGA processes struggle to maintain least privilege?

Why This Matters for Security Teams

Manual identity governance and administration works best when access is stable, systems are few, and reviewers can verify usage quickly. least privilege breaks down when entitlements span SaaS, cloud, data platforms, and machine identities, because reviewers can see what was approved but not what was actually exercised. That gap makes overprovisioning look normal and dormant access easy to miss.

For NHI and agentic workloads, the problem is sharper: access patterns are dynamic, task-driven, and often bursty. Guidance from the OWASP Non-Human Identity Top 10 and NIST SP 800-207 Zero Trust Architecture both reinforce that static trust and broad standing access are poor fits for modern environments. NHIMG research also shows that systems with least-privileged AI access had a 17% incident rate versus 76% for over-privileged systems in The 2026 Infrastructure Identity Survey, which underscores how quickly excess privilege becomes operational risk. In practice, many security teams discover least privilege drift only after an audit exception, incident review, or access sprawl has already accumulated.

How It Works in Practice

Manual IGA processes usually depend on periodic certification, spreadsheet-based review, or rule sets that map jobs to entitlements. Those methods can confirm that a permission was granted, but they rarely answer three questions that matter for least privilege: whether the permission is still needed, whether it was used recently, and whether it is safe to keep standing. For human identities, that is already difficult. For non-human identities, it is often impossible without telemetry from every runtime and workload.

That is why current guidance increasingly points toward continuous, evidence-based access decisions rather than calendar-driven review. In NHI programs, the stronger pattern is to combine entitlement data with workload identity, runtime activity, and policy evaluation at the moment of request. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs frames this as a lifecycle problem, not just an access review problem: issue identity, scope it narrowly, observe use, and remove it when the task ends. That aligns with Ultimate Guide to NHIs — Key Challenges and Risks, which highlights how hidden credentials and broad permissions turn routine automation into an attack path.

• Use activity logs to validate actual use, not just approved access.
• Prefer short-lived, task-scoped credentials over standing permissions where possible.
• Review entitlements against the current workload, system owner, and data sensitivity.
• Revoke access automatically when the workload, agent, or integration is retired.

For teams operating under Zero Trust, the practical shift is to treat access as a runtime decision supported by policy and telemetry, not as a one-time grant. These controls tend to break down when identity data is fragmented across legacy directories, cloud consoles, and unmanaged service accounts because no single system can reconstruct effective access end to end.

Common Variations and Edge Cases

Tighter access review often increases operational overhead, requiring organisations to balance stronger least privilege against the time and tooling needed to keep records current. That tradeoff is especially visible in environments with many ephemeral workloads, delegated administration, or shared platform accounts.

There is no universal standard for this yet, but current guidance suggests a few exceptions deserve special handling. Break-glass accounts may remain standing, but they need stronger monitoring and explicit approval. Shared service accounts are sometimes unavoidable in legacy systems, yet they should be treated as temporary technical debt rather than a normal control state. API keys and tokens tied to automation also need different treatment from human entitlements because usage can be machine-speed and task-specific.

Manual IGA is least effective when access changes faster than review cycles, when applications cannot report meaningful usage, or when teams rely on inferred role mappings that do not match real operational behavior. In those environments, least privilege is not maintained by review alone; it depends on continuous discovery, usage evidence, and automatic removal of stale access. Security teams that keep waiting for a perfect certification process usually find that privilege creep has already become accepted baseline.

Related resources from NHI Mgmt Group

• Why do NHIs complicate zero trust and least privilege efforts?
• When does least privilege break down for machine identities?
• When should organisations prioritise Zero Standing Privilege for non-human identities?
• What is the difference between privilege reduction and secret rotation?