AI Agent Sandboxing

AI agent sandboxing is a security and containment approach that isolates autonomous AI agents within restricted computational environments to limit potential harm from unintended actions or malicious behavior. This technique prevents agents from accessing sensitive systems, data, or resources beyond their authorized scope while allowing controlled testing and monitoring of agent behavior. For enterprise governance, sandboxing is critical because it enables organizations to safely develop and deploy AI agents while maintaining compliance with security policies and reducing risks associated with autonomous decision-making.

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Corporate PolicyGlobal2026-08-10

Docker Sandboxes Puts Agentic Coding Controls in Enterprise Hands

Docker has launched Docker Sandboxes, a product that runs AI coding agents such as Claude Code, Gemini CLI, Copilot CLI, and Codex inside isolated microVM environments with configurable network and filesystem controls. Each agent operates in its own contained environment, preventing unattended autonomous execution from touching the host system. An enterprise tier called Docker AI Governance extends these controls to centralized, organization-wide policy enforcement across every developer machine.

Docker Claude Code Gemini CLI Codex agentic AI AI agent sandboxing enterprise AI governance MCP governance