Session 3 of 7

The session delves into agentic threat modeling, emphasizing the vulnerabilities in multi-agent AI architectures. It covers attack scenarios like memory manipulation and tool misuse, illustrating how malicious actors can exploit AI agents to cause financial losses or data breaches. MCP-related threats were also explored, including tool description manipulation, prompt injections, and rug pull attacks. 

Mitigation strategies discussed included safeguarding components, enhancing identity management, and implementing dual token standardization. The session concluded with insights into ongoing collaborations with Anthropic to address MCP security, highlighting continuous monitoring and behavior analysis as critical defenses.