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11/06/2026 11:34 pm
TL;DR: Disparate IGA models create manual work, visibility gaps, and audit friction because access requests, reviews, provisioning, and SaaS visibility are split across tools, according to Zluri. The governance problem is structural: control quality depends on whether identity data moves as one system or as disconnected fragments.
NHIMG editorial — based on content published by Zluri: Access Management Disparate Vs Converged IGA Model: What Actually Works
Questions worth separating out
Q: How should security teams evaluate a converged IGA model against a disparate setup?
A: Compare the models on data continuity, review accuracy, and revocation reliability, not on the number of features in each tool.
Q: Why does fragmented IGA increase audit and recertification risk?
A: Fragmented IGA forces certifiers to rely on partial evidence from multiple systems, which increases the chance of stale approvals and missed entitlements.
Q: What breaks when access reviews are disconnected from SaaS visibility?
A: Reviewers end up certifying access without a reliable view of which applications are active, who owns them, or whether the entitlement is still used.
Practitioner guidance
- Map control ownership across the entire IGA workflow List which system owns provisioning, review, request approval, SaaS visibility, and deprovisioning.
- Test entitlement consistency after every lifecycle change Run sample joiner, mover, and leaver events and compare the resulting access state across connected tools.
- Retire overlapping tools only after evidence checks pass Do not remove legacy applications until you have verified that the converged platform preserves access history, review artefacts, and revocation outcomes.
What's in the full article
Zluri's full article covers the operational detail this post intentionally leaves for the source:
- The article walks through the full migration logic from disparate to converged IGA, including the sequencing of consolidation steps.
- It shows how Zluri positions each workflow area, including provisioning, access reviews, access requests, and SaaS visibility, inside one operating model.
- The piece includes implementation-oriented guidance on assessing current tools and deciding when redundant applications can be retired.
- It explains the efficiency and compliance claims in more detail, which helps teams compare the model against their own operating constraints.
👉 Read Zluri's analysis of disparate versus converged IGA models →
Converged IGA vs disparate tools: where the governance gap is?
Explore further
12/06/2026 8:18 am
Disparate IGA is really a control-coherence problem. The article correctly identifies inefficiency, but the deeper issue is that governance loses coherence when entitlement state is split across multiple tools. A separate provisioning system, review engine, and SaaS visibility layer each generate partial truth, and partial truth is enough to miss least-privilege violations. The practitioner implication is to evaluate governance models by consistency of state, not by feature count.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, with 46% confirmed and 26% suspected, according to The 2024 ESG Report: Managing Non-Human Identities.
A question worth separating out:
Q: Who is accountable when a unified IGA platform still misses stale access?
A: Accountability sits with the identity governance owner, not the tooling alone. A unified platform can reduce fragmentation, but teams still need clear ownership for entitlement data, review decisions, and lifecycle enforcement. If stale access persists, the issue is usually governance design, not simply product choice.
👉 Read our full editorial: Converged IGA vs disparate tools: what really changes
