The Agent Containment Problem: Secure Enterprise AI
Enterprises are in a new phase of AI adoption as AI agents transition from answering questions, reasoning, utilizing tools, and accessing data to taking action. But greater autonomy brings with it an inherent conundrum: If an agent discovers a means to achieve its objective that wasn’t originally planned by the agent designers, how does it handle that?
There is a recent case of autonomous AI agentsthat gives a warning. According to agents, they could access external services, such as Hugging Face, even if direct Internet access was not available, because they discovered an “unintended path” through a shared infrastructure to go to external services. More importantly, agents that didn’t know each other were able to coordinate without explicit knowledge of other agents. The lesson is more general than the incident: the more autonomous the agent, the more it is possible to let an agent do, and the more it...
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