Microsoft Opens Security Dashboard for AI Public Preview

A governance layer for enterprise AI sprawl

Microsoft’s February 13, 2026 public preview of Security Dashboard for AI turns the company’s AI security story into a concrete governance product. The target users are CISOs and AI risk leaders who need a single operational view of AI exposure across agents, apps, models, and platforms as enterprise AI adoption spreads beyond a few isolated pilots.

Microsoft argues that organizations now face AI assets scattered across Microsoft services, third-party models, internal applications, and MCP servers, while security, identity, and data controls are still split across separate tools. The new dashboard is meant to collapse that fragmentation into a single pane of glass.

What the preview includes

According to Microsoft, the dashboard aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview. It includes an AI risk scorecard plus an inventory view that covers Microsoft 365 Copilot, Copilot Studio agents, Microsoft Foundry applications and agents, and third-party assets such as Google Gemini, OpenAI ChatGPT, and MCP servers.

Unified AI risk visibility across security, identity, and data layers

Inventory coverage for AI agents, applications, models, and MCP servers

Security Copilot natural-language investigation and prioritization

Recommendation workflows and delegated remediation tasks

Availability for eligible Microsoft security customers without extra licensing

Microsoft is also using Security Copilot to make the dashboard more than a passive reporting surface. The company says natural-language interaction can help leaders identify shadow or unmanaged AI assets and investigate the most critical risks faster.

Why this matters

The strategic significance is bigger than one more dashboard. Microsoft is trying to normalize AI systems as an operational estate that gets discovered, scored, investigated, and remediated in the same way endpoints, identities, and cloud resources do. If that approach takes hold, AI governance will move from policy discussion into routine security operations much faster.

For organizations already committed to Microsoft’s security stack, the offering lowers the friction of AI risk management because it is bundled into existing products. For the broader market, it is a signal that multi-tool AI governance is becoming a real software category rather than a mostly manual consulting exercise.