#234 - Model Context Protocol (M) 5r3s

In this episode of CISO Tradecraft, host G Mark Hardy delves into the emerging concept of Model Context Protocol (M) and its significance in AI and enterprise security. Launched by Anthropic in November 2024, M is designed to standardize how AI systems interact with external data sources and applications. Hardy explores how M differs from traditional APIs, its implications for security, and the steps organizations need to take to prepare for its adoption. Key topics include the stateful nature of M, security risks such as prompt injection and tool poisoning, and the importance of developing a robust governance framework. By the end of the episode, listeners will have a comprehensive understanding of M and practical recommendations for safeguarding their AI-driven workflows. Transcripts https://docs.google.com/document/d/1vyfFJgTbsH73CcQhtBBkOfDoTrJYqzl_   References Model Context Protocol specification and security best practices, https://modelcontextprotocol.io  ⁠  Security risks of M, https://pillar.security  ⁠ ⁠ M security considerations, https://writer.com   Chapters 00:00 Introduction to Model Context Protocol (M) 00:27 Understanding M and Its Importance 01:41 How M Works and Its Security Implications 04:23 Comparing M to Traditional APIs 08:41 M Architecture and Security Benefits 12:07 Top Security Risks of M 18:00 Implementing Security Controls for M 25:00 Governance Framework for M 28:03 Future Trends and Strategic Recommendations 30:34 Conclusion and Next Steps 6d5t1u