Topic starter
09/07/2026 3:21 pm
TL;DR: Conditional access policies only protect the identities and apps they actually reach, and native tooling often leaves teams blind to ungated sign-ins, legacy auth paths, and exclusion drift, according to Abnormal AI. Coverage, not policy count, becomes the real control variable when provisioned identities outnumber active users and gaps compound unnoticed.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “The Sign-Ins Your Conditional Access Policy Didn't Gate”.
Key questions
Q: What breaks when conditional access does not reach every identity and application?
A: The control stops being a reliable enforcement layer and becomes a partial policy.
Q: Why do legacy authentication protocols create risk after MFA is enabled?
A: Legacy protocols such as IMAP and POP can bypass MFA because they use password-only authentication paths that sit outside modern sign-in enforcement.
Q: How can teams tell whether conditional access is actually working?
A: Look for consistent enforcement, low rates of contradictory access outcomes, and policy decisions that can be explained quickly during audit or incident review.
Practitioner guidance
- Measure uncovered authentications Identify which identities authenticated successfully last month without a conditional access policy applied, then map those sign-ins back to the applications and auth paths involved.
- Inventory legacy authentication routes List every application or endpoint that can still authenticate outside modern policy enforcement, especially routes that bypass MFA or rely on older protocols.
- Review exclusion growth Compare the current exclusion set with the last governance review and explain every新增 exception in terms of control scope that was removed.
Bottom line: Conditional access can look mature while still leaving important identities, apps, and sign-in routes outside enforcement.
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09/07/2026 3:39 pm
Coverage, not configuration, is the real conditional access control variable. Policies that exist but do not reach every relevant identity or application create a false sense of enforcement. Abnormal AI's example shows why control counts are a weak proxy for actual protection. The practitioner conclusion is straightforward: governance has to measure scope, not just policy presence.
A question worth separating out:
Q: Should organisations treat exclusions as a temporary exception or a control boundary?
A: As a control boundary. Each exclusion removes identities or applications from enforcement, so a growing exception set directly reduces coverage. Teams should review exclusions as part of identity governance, because a large or expanding list often means the actual security boundary is narrower than the policy design suggests.
👉 Read our full editorial: Conditional access coverage gaps are the hidden identity risk