Executive Summary
Microsoft describes securing healthcare AI with governance, access controls and monitoring to protect medical data.
What Happened
In this session, Microsoft describes its approach to securing healthcare AI, emphasizing governance, access controls, and monitoring to protect sensitive medical data when using LLMs and AI agents.[7] The presentation highlights the need to defend against data leakage and misuse of AI tools, and to embed security and compliance into the AI development lifecycle for clinical and operational applications.[7]
Vulnerability / Attack Technique
Healthcare AI governance (guidance)
Technical Mechanism
Vendor guidance.
AI Security Category
LLM02:2025 Sensitive Information Disclosure
Relevant Frameworks
RealGround Analysis
Build security into the AI lifecycle.
Recommended Controls
- Apply access controls to clinical AI
Related RealGround Service
AI Security Readiness Assessment · or start with the free AI Agent Security Scanner.
Sources
Microsoft (YouTube): https://www.youtube.com/watch?v=oCEIu0hNFv0
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.
