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Google Launches Agent Sandbox to Safely Run AI-Generated Code on Kubernetes

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Google Cloud has released Agent Sandbox, a managed GKE feature that provides isolated, stateful Linux containers for executing untrusted, LLM-generated code. Each sandbox runs as a single-replica Kubernetes workload with a stable hostname, persistent storage, kernel-level isolation, and a default deny-all network policy. The system is built on Kubernetes custom resource definitions, including primitives for sandbox instances, reusable templates, and warm pools that allow pre-started sandboxes to be assigned in milliseconds. An open-source controller under the kubernetes-sigs/agent-sandbox project lets teams run the same setup on their own clusters without relying on Google's managed offering. The feature addresses a growing security concern for platform engineers as AI agents are increasingly tasked with running shell commands, installing packages, and interacting with live infrastructure.

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Google Launches Agent Sandbox to Safely Run AI-Generated Code on Kubernetes · ShortSingh