Cequence Security: AI Agent Behavior Protection is Key

Three leading voices in AI security now agree on a critical point: the biggest risk with AI agents is not how they access systems, but what they do once they are inside. Anthropic, Dr. Chase Cunningham, and Cequence Security all emphasize that security efforts must focus on controlling agent behavior. Conventional security tools often focus on the login, but for AI agents that can act autonomously, this approach misses the real danger. An agent could misuse legitimate access to cause harm, manipulate APIs, or steal data. Cequence’s AI Gateway aims to close this gap by extending zero-trust principles to monitor what an agent does, not just who it is. This convergence aligns with the new Model Context Protocol Companion Guide from the Center for Internet Security. This guide adapts existing security controls to address the unique risks of AI agents interacting with enterprise systems. The Cequence AI Gateway helps put these recommendations into practice. This matters because AI agents are quickly becoming key players in businesses, making it crucial to secure their actions in real-time.