The Conditional Access Optimization Agent uses continuous, context-aware AI to analyze policies, surface gaps, enforce least-privilege for human and agent identities, automate phased rollouts and passkey campaigns, and provide measurable Zero Trust posture reporting for scalable identity operations.
Conditional Access Optimization Agent in public preview brings continuous, context-aware identity posture optimization. It combines tailored recommendations, deep gap analysis, automated enforcement, phased rollouts, and passkey campaigns to reduce risk.
Main feature/change and impact
The agent now uses organization-specific context to tailor Conditional Access recommendations. It reasons over uploaded policy documents and organizational standards. Continuous deep gap analysis evaluates hundreds of policy interactions and finds persistent coverage holes. Automated least-privilege enforcement for agent identities reduces excess permissions. The net impact is fewer blind spots and measurable Zero Trust posture improvements across users, apps, and agent IDs.Practical implications
Security teams can shift from manual audits to continuous operations with measurable outcomes. Phased rollout capability enables gradual policy deployment while monitoring real-world impact. Passkey deployment campaigns accelerate phishing-resistant authentication adoption while reducing operational friction. Reporting dashboards quantify gaps found, coverage gained, and remaining exposure. Overall, teams can prioritize fixes, prove progress to leadership, and lower risk without disruptive policy changes.“The recommendations are great, but they don’t always match how our organization works.”These enhancements change how identity security is operated and measured. Next steps are to upload organizational context, run deep gap analysis, and pilot phased rollouts and passkey campaigns.
Key points from the article:
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From the Microsoft Entra Blog articles
