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11/06/2026 11:54 pm
TL;DR: Light IGA can handle provisioning, deprovisioning, and access reviews for smaller cloud-native environments, but it breaks down when organisations face disconnected systems, toxic role overlaps, and visibility gaps across human and non-human identities, according to Gathid. The governance ceiling is not technical coverage alone, it is the assumption that connected, clean roles still describe the real environment.
NHIMG editorial — based on content published by Gathid: Daily Trust, a smarter path to identity governance part three
By the numbers:
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security.
- Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems, and organisations failing to scope AI access properly are 4.5x more likely to experience a security incident.
Questions worth separating out
Q: What breaks when Light IGA is used in a fragmented identity estate?
A: Light IGA breaks down when access must be governed across disconnected systems, legacy applications, and non-human identities that do not fit clean directory models.
Q: Why do non-human identities complicate identity governance?
A: Non-human identities complicate governance because they often live outside the systems and workflows that standard IAM tools were designed to cover.
Q: How do organisations know if access reviews are actually working?
A: Access reviews are working only if they reduce drift, remove stale access, and keep the live estate aligned with policy after approvals are complete.
Practitioner guidance
- Map governance coverage against real identity complexity Inventory which systems, account types, and identity relationships are actually visible to Light IGA, then compare that coverage with legacy applications, OT, SaaS, and AI-related identities that sit outside the model.
- Reconcile human and non-human identities in one control view Build a single view that links users, service accounts, API keys, bots, and AI agents to their owning systems and business purpose, then flag identities that cannot be tied to an accountable owner.
- Test for privilege combinations across systems Review whether separated entitlements become toxic when combined across finance, HR, OT, and cloud platforms, and validate the result against actual usage rather than theoretical role design.
What's in the full article
Gathid's full article covers the operational detail this post intentionally leaves for the source:
- How the daily digital twin maps access relationships across Entra, Okta, HR, legacy, and operational systems
- What relational modelling reveals about toxic access combinations and policy drift in mixed identity estates
- Why daily validation can surface audit evidence faster than annual review campaigns
- How the source frames the transition from Light IGA to a broader governance fabric
👉 Read Gathid's analysis of why Light IGA reaches its limits →
Light IGA and identity sprawl: where governance starts to break?
Explore further
12/06/2026 8:49 am
Partial identity governance is a control state, not a governance outcome. Light IGA can prove that processes ran, but not that the environment is actually governed. When disconnected systems, legacy applications, and non-human identities sit outside the governance model, the organisation gets activity without assurance. The practitioner conclusion is simple: coverage metrics are not the same as governance maturity.
A few things that frame the scale:
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to The 2026 Infrastructure Identity Survey.
- A separate finding from the same survey shows that 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems.
A question worth separating out:
Q: Who should own governance when human and machine identities overlap?
A: Ownership should sit with the identity governance function, but accountability must be shared with system owners and platform teams that control the source systems. When machine identities are involved, the control objective is the same as for humans, which is to ensure every account has a purpose, an owner, and a lifecycle endpoint.
👉 Read our full editorial: Light IGA reaches its limit when identity sprawl outgrows reviews
