As AI agents increasingly evolve from simple chatbots to autonomous systems capable of generating and executing code and manipulating data, they introduce significant security and operational challenges. This talk explores Agent Sandbox, a Kubernetes-native solution designed to safely and efficiently run non-deterministic and untrusted workloads.

We will discuss how Agent Sandbox bridges the gap between the safety of virtual machines and the speed of containers. You will learn how it utilizes a dedicated CRD to manage templates and allow Agents to run generated code in an isolated container, leveraging gVisor to provide a user-space kernel runtime.

Join us to discover how to scale your AI agents confidently, knowing that even if they go rogue, your cluster remains secure.