Recent discussions in AI have highlighted the vulnerabilities of tool-integrated agents, which depend on external tools to provide context and grounding for their outputs.
This reliance introduces significant attack surfaces that could be exploited, raising questions about the security and reliability of these systems.
Moreover, current evaluation methods may not sufficiently assess these vulnerabilities, leaving potential risks unaddressed in the development of agentic AI.