Start by correlating sign-in telemetry with policy evaluation results, then isolate successful authentications that never received a conditional access decision. Focus on excluded users, uncovered apps, and legacy authentication routes. The goal is to measure real enforcement coverage, not the number of policies configured.
Why This Matters for Security Teams
conditional access gaps are not just policy hygiene issues. They are enforcement blind spots where authentication succeeds without the intended risk checks, device requirements, location rules, or app restrictions being applied. That matters because attackers do not need to defeat every control, only the paths that were never evaluated. The OWASP Non-Human Identity Top 10 helps frame this as an identity enforcement problem, not a simple configuration audit.
For security teams, the practical risk is that dashboards can look healthy while actual coverage is incomplete. Excluded principals, legacy authentication, service-to-service access, and uncovered applications often sit outside the policy path. That is why NHI Management Group’s Ultimate Guide to NHIs emphasizes visibility, lifecycle control, and Zero Trust alignment as a baseline for enforcement. The same pattern appears in breach analysis, including 52 NHI Breaches Analysis, where weak identity controls routinely compound into broader compromise.
Practitioners should treat conditional access as a runtime control surface, not a policy count. In practice, many security teams discover the largest gaps only after a legacy route or excluded application has already been used to bypass enforcement.
How It Works in Practice
The most reliable method is to compare sign-in telemetry with policy evaluation results and then reconcile the two against your identity inventory. Start with successful authentications, not policy objects. Look for events where a user, workload, or app authenticated but no conditional access decision was recorded. Then separate true exclusions from accidental non-coverage.
At a minimum, teams should examine these conditions:
- Excluded users, groups, break-glass accounts, and administrative bypass paths
- Applications not bound to the policy engine, including older SSO integrations and direct-to-cloud apps
- Legacy authentication routes that never trigger modern conditional access evaluation
- Service accounts, API keys, and other NHI paths that may authenticate outside interactive user controls
Pair that telemetry review with a control mapping exercise. NIST’s SP 800-53 Rev. 5 Security and Privacy Controls is useful for translating the exercise into audit language, but the operational test is simpler: every successful authentication should either receive a policy decision or be explicitly justified as out of scope. Where possible, use the same method to validate coverage for third-party OAuth apps and service principals, because those paths often evade human-centered dashboards. NHI Management Group’s Ultimate Guide to NHIs — Key Challenges and Risks notes that visibility gaps and over-privilege are still common failure modes, which makes conditional access checks incomplete by default.
The practical output should be a list of uncovered identities, apps, and protocols, plus an owner and remediation path for each gap. These controls tend to break down in hybrid environments where legacy authentication, multiple identity providers, and unmanaged service-to-service flows prevent a single policy engine from seeing the full transaction.
Common Variations and Edge Cases
Tighter conditional access coverage often increases administrative overhead, requiring organisations to balance enforcement depth against operational friction. That tradeoff is most visible in environments with shared tenants, contractor access, emergency accounts, and machine identities that do not fit clean user-centric policy models.
Current guidance suggests treating these edge cases separately rather than forcing them into a single rule set. For example, break-glass accounts should be tightly controlled but often need explicit exclusion from some policies to preserve availability. Service principals and API integrations may need compensating controls such as short-lived secrets, workload identity checks, or network restrictions instead of interactive conditional access. The OWASP Non-Human Identity Top 10 is relevant here because many bypasses are really identity lifecycle failures disguised as access exceptions.
One useful test is to compare policy coverage by authentication path, not by business unit. If a protocol never produces a decision event, there is no universal standard for calling it “covered” yet. Security teams should document those exceptions, review them periodically, and tie remediation to migration off legacy auth wherever possible. In practice, the hardest gaps are not the rules everyone can see, but the authentication paths that were never brought under policy evaluation in the first place.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10, OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Conditional access gaps often hide uncovered NHI paths and exclusions. |
| OWASP Agentic AI Top 10 | Runtime enforcement gaps matter when autonomous agents can authenticate outside expected paths. | |
| CSA MAESTRO | MAESTRO addresses governance for machine identities and policy enforcement in agentic systems. | |
| NIST CSF 2.0 | PR.AA-05 | Identity verification and access enforcement must cover all successful authentications. |
| NIST AI RMF | GOVERN | AI governance requires oversight of identity controls used by autonomous and semi-autonomous systems. |
Map machine and agent access routes to runtime policy checks and close any unaudited exception paths.
Related resources from NHI Mgmt Group
- How should security teams run access reviews for non-human identities?
- How should security teams govern non-human identities that have persistent access?
- How should security teams govern API keys used for generative AI access?
- How can security teams reduce broker and partner access risk in insurance?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on July 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org