In this episode of CISO Tradecraft, host G Mark Hardy delves into the emerging concept of Model Context Protocol (MCP) and its significance in AI and enterprise security. Launched by Anthropic in November 2024, MCP is designed to standardize how AI systems interact with external data sources and applications. Hardy explores how MCP 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 MCP, 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 MCP 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 MCP, https://pillar.security ⁠ ⁠

MCP security considerations, https://writer.com

Chapters

00:00 Introduction to Model Context Protocol (MCP)
00:27 Understanding MCP and Its Importance
01:41 How MCP Works and Its Security Implications
04:23 Comparing MCP to Traditional APIs
08:41 MCP Architecture and Security Benefits
12:07 Top Security Risks of MCP
18:00 Implementing Security Controls for MCP
25:00 Governance Framework for MCP
28:03 Future Trends and Strategic Recommendations
30:34 Conclusion and Next Steps

#234 - Model Context Protocol (MCP)