Microsoft Purview and Agent 365 – Review

Microsoft Ignite 2025 · 12 min read

At Microsoft Ignite 2025, Microsoft made a decisive statement: AI agents are no longer experimental tools — they are enterprise actors that require identity, governance, and security controls.

With major announcements across Agent 365, Entra Agent ID, expanded Microsoft Purview, and AI-assisted security operations, Microsoft is building a strong native control plane for AI agents embedded across Microsoft 365, Copilot, Fabric, and Foundry.

This is a meaningful and necessary evolution — but it is not sufficient on its own.

Native, vendor-scoped controls alone are not sufficient for enterprise-wide AI trust, risk, and security management.

What Microsoft Got Right

Agent 365: Centralized Oversight for AI Agents

Agent 365 introduces a centralized control plane designed to manage AI agents throughout their lifecycle. Agents are treated as digital employees, enabling:

  • Agent registration and inventory
  • Lifecycle and access management
  • Integration with Entra, Defender, Purview, and Sentinel

Embedding governance directly into the same environment where agents are built is a strong architectural decision.

Entra Agent ID: Identity and Governance for Agents

Entra Agent ID extends Zero Trust identity concepts to AI agents by enabling:

  • Unique identities for agents
  • Authentication and authorization
  • Policy enforcement tied to identity posture
  • Automated protections

Identity is foundational — without it, governance cannot scale.

Expanded Microsoft Purview for AI

Microsoft Purview continues to be a core pillar of AI data governance, now offering:

  • Real-time DLP for Copilot prompts and responses
  • DSPM-driven understanding of data exposure
  • Integration with Insider Risk Management
  • AI-assisted investigation workflows

Where the Gaps Remain

Deep Protections Require Entra Registration

  • Agent registration is opt-in
  • Unregistered agents have limited visibility
  • Shadow or rogue agents may evade oversight

This creates blind spots in large, decentralized environments.

Key Preventative Controls Remain in Preview

  • Shadow AI agent detection
  • TLS inspection of AI traffic
  • Network-layer prompt injection protection

Until these controls reach GA, sophisticated insiders can still bypass protections.

Understanding Insider Threat Vectors

Global Secure Access (GSA) Client

GSA is Microsoft’s endpoint enforcement layer for Zero Trust access.

Risk: Disabling or bypassing GSA allows agents to operate outside inspection.

Shadow AI Agents

  • Unregistered or unsanctioned agents
  • Agents embedded in scripts or SaaS tools
  • Workflows outside governance pipelines

Encrypted Command-and-Control

Rogue agents may exfiltrate data via TLS-encrypted connections to trusted AI providers.

Network-Layer Prompt Injection

Prompt manipulation in transit can cause unintended agent behavior.

The Current Best Mitigation

Microsoft Purview Insider Risk Management currently provides the strongest protection against insider-driven AI abuse through behavioral detection and risk scoring.

Governance Gaps for the Second Line of Defense

Agent 365 primarily serves engineering teams, while AI governance is often owned by risk, compliance, and GRC functions — leading to fragmented oversight.

Visibility Beyond Microsoft

  • Non-Microsoft data platforms
  • Third-party AI tools
  • Cross-cloud and server-side agents

Licensing and Lock-In Considerations

Advanced AI governance capabilities often require E5 licensing, increasing both cost and vendor dependency.

Why Independent AI TRiSM Is Required

  • Enterprise-owned AI policy definition
  • Discovery of all agents — sanctioned and shadow
  • Cross-cloud runtime enforcement
  • Reduced single-vendor dependency

Key takeaway:

Agent 365 is a strong first step — but enterprise AI governance requires independent, cross-cloud AI TRiSM layers.

Microsoft is building powerful first-party AI controls.

Enterprises that augment Purview and Agent 365 with independent AI TRiSM platforms will be best positioned to scale AI securely, compliantly, and with confidence.