Admin Guard Insight Agent

Admin Guard Insight is a Security Copilot agent designed to assess and contextualize privileged administrative activity across Microsoft security workloads over a defined analysis period.

The agent provides security teams with a clear, risk-oriented view of who is performing administrative actions, where those actions occur, and how those actions relate to identity exposure and overall security posture. By correlating signals from Microsoft Entra ID, Microsoft Defender, and Microsoft Sentinel, Admin Guard Insight helps accelerate investigations, strengthen privileged access governance, and improve visibility into administrative risk across the environment.

Admin Guard Insight identifies the most frequently executed administrative activities, highlights potentially risky or unusual behavior, and delivers actionable insights aligned with Zero Trust and least-privilege principles. The output is designed for both SOC analysts and identity/security administrators, combining technical depth with structured summaries that also support management-level review.

Admin Guard Insight consumes Microsoft Entra ID sign-in telemetry, Entra audit events, privileged role and administrative context, and relevant incident or alert signals from Microsoft Defender and Microsoft Sentinel when available for correlation.

The agent analyzes privileged administrative activity across the selected assessment window, identifies the most common and highest-value admin actions, detects risky or anomalous behavior patterns, correlates identity events with Defender and Sentinel security signals, and evaluates the observed activity in the context of privileged access governance, Zero Trust, and least-privilege practices.

The agent generates a structured privileged activity assessment that includes key findings, correlated security context, highlighted risk patterns, and actionable recommendations to improve monitoring, governance, and administrative security posture.

Admin Guard Insight is designed with predictable and optimized SCU consumption, adapting its execution logic based on tenant size and data volume.

Estimated SCU consumption per execution: