AI Red Teaming 101 – Full Course (Episodes 1-10)

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Welcome to the complete AI Red Teaming 101 series! This beginner-friendly series covers the essential basics of AI red teaming, giving you the core concepts and techniques you need to understand generative AI security risks. Led by Dr. Amanda Minnich (Principal Research Manager, Microsoft AI Red Team), Gary Lopez (Principal Offensive AI Scientist, ADAPT), and Nina Chikanov (Security Software Engineer II, Microsoft AI Red Team), this series demystifies the critical security challenges facing modern AI deployments. Whether you're a security professional, ML practitioner, or just curious about AI risks, this complete series is designed to get you started—no PhD required! You'll learn how Microsoft's AI Red Team secures real-world AI systems like Copilots before release and get hands-on experience with cutting-edge tools and techniques. From understanding how generative AI models work to trying out multi-turn attacks and exploring defense strategies, this series covers the core fundamentals of AI red teaming. You'll explore real-world vulnerabilities like prompt injection and jailbreaks, learn to use Microsoft's open-source PyRIT tool for automated testing, and discover proven mitigation strategies like Spotlighting that help secure AI applications in production. What You'll Learn: The fundamentals of AI red teaming vs. traditional red teaming How generative AI models are built and where vulnerabilities emerge Direct and indirect prompt injection techniques with real-world e

Published 2025-07-09 · Watch on YouTube ↗
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