A2A - MCP SECURITY Threats Protect your AI Agents
AI Summary
This video explores the pressing security challenges within the realm of AI, focusing particularly on MCP (Model Context Protocol) and A2A (Agent to Agent) security issues. The speaker discusses various recent publications that examine adversarial attack vectors and potential countermeasures concerning multimodal systems and agent interactions. Key topics include the vulnerabilities of LLMs (Large Language Models) during various training phases, the importance of post-training safety measures, and the risks associated with the integration of agents in distributed environments. Additionally, the significance of securing decentralized systems, particularly in the Internet of Agents, is addressed, highlighting critical threats such as identity forgery and cross-agent trust issues. The video emphasizes the rapidly evolving landscape of AI security and the necessity for robust defenses against a plethora of attack vectors, urging viewers to engage with the latest research to stay informed.