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Learn how to use **security frameworks** to reduce risk and make sure patient information is safe. Discover how to use **threat modeling** to reduce **privacy risks** in **AI in healthcare**. This video shows simple steps and examples to prevent data leaks and mistakes.

Healthcare AI brings innovation—but also serious privacy and security risks. In this video, we break down threat modeling frameworks designed to protect sensitive patient data and ensure compliance with healthcare regulations.

You’ll learn:
✅ What threat modeling means in the context of AI
✅ How frameworks like STRIDE, LINDDUN, and NIST apply to healthcare AI systems
✅ Real-world risks and defenses for privacy & security
✅ Best practices to build trustworthy AI solutions in healthcare

This lecture is beginner-friendly but detailed enough for professionals who want to secure AI deployments in hospitals, clinics, or health tech startups.

👉 Watch till the end for actionable steps to implement AI safely in healthcare.