Running LLM Agents Safely: Hands-On with Docker Sandboxes

Why LLM Agent Security Matters As AI agents become more capable, they are increasingly being trusted to take actions on behalf of users—calling tools, writing files, executing code, accessing APIs, and interacting with external systems. While this unlocks powerful automation, it also introduces serious security risks. This makes LLM agent security a critical concern for anyone building or deploying autonomous AI systems. Hands-On LLM Agent Security with Docker Sandboxes In this hands-on session, we explore practical approaches to LLM agent security by running LLM agents inside isolated Docker Sandboxes. You’ll learn how to safely execute agent workflows while keeping full control over permissions, system access, and runtime behavior.…