Establish Ongoing Monitoring and Remediation
Implementation Effort: High – Requires integrating multiple monitoring surfaces, defining operational cadences, assigning accountability, and building remediation workflows that span Defender, Purview, and Entra.
User Impact: Low – Monitoring and remediation processes operate behind the scenes and do not affect end-user or agent workflows.
Overview
AI security posture is not a one-time assessment. New agents are registered, models are deployed, permissions drift, and shadow AI usage patterns shift as the organization adopts new tools. Without a recurring operational rhythm, the risk findings surfaced by the Security Dashboard for AI, Defender for Cloud Apps, and Global Secure Access become stale — recommendations go unactioned, new risks go undetected, and the organization's AI posture degrades silently.
This task establishes the ongoing monitoring and remediation cycle that keeps AI risk management current. It encompasses three activities. First, schedule recurring reviews of the Security Dashboard for AI to triage new recommendations, track remediation progress on delegated findings, and identify emerging risk categories. Second, review shadow AI app usage through Global Secure Access traffic dashboards and Defender for Cloud Apps discovery reports — confirming that sanctioning decisions remain current, newly popular AI apps are assessed and classified, and blocking policies are adjusted as the sanctioned app portfolio evolves. Third, define remediation workflows: who acts on which finding category, what the expected response time is, and how remediation is tracked to closure.
This supports Assume breach by ensuring the organization maintains continuous visibility into AI risk posture rather than relying on point-in-time assessments. It supports Verify explicitly by subjecting AI app usage patterns to recurring human review, catching drift that automated policies alone cannot detect.