Microsoft Agent 365 became generally available for the Commercial segment on May 1, 2026, positioned as the control plane for AI agents across the enterprise regardless of where those agents were built or acquired.
Most organizations are entering this era without a defined governance or security model. The pattern is familiar:
- Agents proliferating across business units
- No central inventory
- Unclear ownership and approval
- No lifecycle controls
- No runtime monitoring
- No visibility into what data agents are touching or what actions they are taking
This accelerator gives leadership the answers they need before agent volume grows.
The questions on every CISO and CIO’s desk:
- Which AI agents and Copilots exist across our environment today, and how will Microsoft Agent 365 surface them?
- Who owns each agent, who sponsored it, who approved it, and who is accountable when something goes wrong?
- How will we extend identity, Conditional Access, and lifecycle controls to agent identities under Microsoft Entra Agent ID?
- How will we detect, block, investigate, and hunt suspicious AI agent behaviour using Microsoft Defender XDR?
- What governance and security operating model should we adopt before agent volume grows?
- What is the right sequence of decisions to make agent adoption safe and defensible?
Four Areas of Work, One Engagement

AI Strategy and Current-State Discovery
• Current AI usage, governance posture, tool sets, skills, and rollout plans
• Where AI agents and Copilots already exist, who owns them, and how they were introduced
• Advisory input on rollout strategy, with identity, data security, and operational governance front and center
Governance and Identity Readiness
• Evaluation of governance gaps across approval workflows, ownership models, sponsor accountability, lifecycle management, and monitoring
• Review of identity foundations in Microsoft Entra and how they extend to agent identity under Entra Agent ID including agent identity blueprints, sponsors, granted permissions, sign-in logs, and Conditional Access applicability for agent identities
• Microsoft Agent 365 registry and agent inventory review, including ownership, sponsor, and approval model
• Data-risk context for agents using Microsoft Purview signals (DSPM, DLP, sensitivity labels, audit) where available
• Operating-model recommendation covering roles, responsibilities, review cadences, escalation paths, and decision rights
Runtime AI Agent Security with Microsoft Defender XDR
• Microsoft Defender AI agent inventory and posture assessment
• AI agent detections, alerts, and runtime protection for supported agent actions
• Detection readiness for unsafe tool usage, credential exposure, data exfiltration attempts, and prompt-based attacks
AI Security Threat Model
• Prompt injection and indirect prompt injection
• Excessive agency and unsafe tool invocation
• Data exfiltration through agent actions
• Agent-to-agent trust boundaries
• Sensitive information disclosure
• Over-permissioned connectors and tools







