Agentic AI systems face a fundamental security flaw: LLMs cannot distinguish instructions from data, making them vulnerable to prompt injection attacks. The "Lethal Trifecta" occurs when an LLM has access to sensitive data, untrusted content, and external communication simultaneously, enabling attackers to exfiltrate information through hidden instructions. Mitigations include minimizing each trifecta element, running LLMs in isolated containers, splitting tasks into smaller controlled steps, maintaining human oversight at every stage, and following the principle of least privilege. Despite vendor efforts, no fully secure agentic AI systems exist yet.
Table of contents
Minimising access to sensitive dataBlocking the ability to externally communicateLimiting access to untrusted contentBeware of anything that violate all three of these!Use sandboxingSplit the tasksKeep a human in the loop3 Comments
Sort: