Sandboxes on Kubernetes: isolation options and how to run them in production

Enterprises running Kubernetes need enhanced isolation and security controls to execute untrusted AI agent code, as standard Kubernetes containers, which share the host kernel, are insufficient for such tasks. Options like Kata Containers, gVisor, and Firecracker provide necessary isolation but require complex configurations and maintenance. The Kubernetes Agent Sandbox project introduces a declarative API for managing stateful, singleton workloads but still leaves operational challenges. Northflank offers a comprehensive solution by providing production-grade sandbox infrastructure on Kubernetes, incorporating these isolation technologies while handling orchestration, networking, and operational complexities. This allows enterprises to maintain their existing Kubernetes investments and compliance while achieving secure and scalable AI agent sandbox environments without the burdens of building and maintaining the underlying stack themselves.

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