IT risk management software and identity risk: what teams miss

TL;DR: IT risk management software can centralise risk registers, automate monitoring, and surface SaaS and access risk, but the practical problem is that many tools still treat identity exposure as a reporting issue rather than a governance boundary, according to Zluri. That gap matters because NHI, human access, and delegated app permissions all expand the same attack surface.

NHIMG editorial — based on content published by Zluri: Security & Compliance Top 11 IT Risk Management Software in 2026

By the numbers:

• 72% of organisations have experienced or suspect they have experienced a breach of non-human identities , 46% confirmed, 26% suspected.

Questions worth separating out

Q: How should security teams manage SaaS risk when applications are tied to identity and access data?

A: Security teams should treat each SaaS application as an identity surface, not just a business tool.

Q: Why do non-human identities complicate IT risk management?

A: NHIs complicate IT risk management because they create access paths that often sit outside traditional user governance.

Q: What breaks when risk software tracks apps but not the identities behind them?

A: When risk software tracks applications without the identities behind them, teams can rank exposure but not reduce it.

Practitioner guidance

• Inventory identity-bearing SaaS exposures Create a register that links each high-risk application to the users, service accounts, OAuth grants, and API tokens that can act inside it.
• Convert risk scores into entitlement action Define what happens when an application crosses a risk threshold: recertify access, reduce scopes, revoke tokens, or remove the app entirely.
• Close the discovery-to-offboarding gap Use SaaS discovery to find unmanaged apps and then verify that access is revoked when vendors, teams, or business use cases change.

What's in the full article

Zluri's full blog covers the operational detail this post intentionally leaves for the source:

• The nine discovery methods used to map SaaS exposure and identify hidden applications.
• Per-tool feature descriptions for threat scoring, risk scopes, and compliance insights across the product list.
• Vendor-by-vendor comparisons and customer rating snapshots that help with shortlist building.
• Examples of how Zluri applies threat levels to specific application permissions and data paths.

👉 Read Zluri's guide to IT risk management software for SaaS and identity exposure →

IT risk management software and identity risk: what teams miss?

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