MCP Governance

MCP governance refers to the oversight and control frameworks applied to Model Context Protocol implementations within enterprise AI systems. This matters for AI governance because MCPs act as bridges between language models and external data sources or tools, creating potential security, data integrity, and compliance risks that must be actively managed. Organizations need robust governance policies around MCP authentication, data access controls, and audit logging to ensure these integrations meet regulatory requirements and maintain AI system transparency and accountability.

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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