This threat analysis covers the investigative methodology for AI activity within Microsoft 365 Copilot and Azure AI services. The playbook published by Microsoft structures telemetry signals from multiple security products into a coherent investigative framework. It enables security teams to identify who interacted with AI systems, when, and what resources were accessed. Detection signals such as prompt injection attempts and anomalous patterns are evaluated in context to determine the nature of the activity. The playbook includes configuration, queries, and detection logic to streamline investigations and extends to agentic AI systems to assess agent behavior and data access. This structured approach supports incident response by reconstructing AI activity and assessing potential threats or policy violations.

The impact involves the potential for security teams to detect and investigate unauthorized or anomalous AI interactions, including prompt injection attempts and unexpected data access within Microsoft 365 Copilot and Azure AI services. The playbook enhances the ability to understand AI-related activity and its implications for data exposure and threat detection. No direct vulnerability or exploit is described; rather, this is a capability to improve investigation and response to AI-related security events.

This is not a vulnerability requiring a patch but a published investigative playbook to improve detection and response capabilities. Security teams should adopt the Microsoft AI activity investigation playbook to leverage existing telemetry for structured AI activity reconstruction. No immediate remediation or patch is necessary. Follow the guidance and tools provided in the playbook to enhance incident response related to AI services.