Agent Governance Toolkit

Agent Governance Toolkit

โ˜… 4 ๐Ÿ”– 2500 saves ๐Ÿ’ฐ Free GitHubSecurity Ai

The Agent Governance Toolkit is Microsoft’s open-source toolkit for governing autonomous AI agents, covering policy enforcement, zero-trust identity, execution sandboxing and reliability engineering. Published on GitHub under the MIT license, it has attracted about 6,400 stars and is actively developed, with updates in 2026.

Overview

As AI agents move from demos into production, they need the same controls that enterprises apply to any powerful automation: who the agent is, what it is allowed to do, where it can run, and how its failures are contained. This toolkit packages those controls for agent systems. It maps its capabilities to the OWASP Agentic Top 10, claiming coverage of all ten risk categories, and combines a policy engine with identity, sandboxing and reliability patterns so teams can deploy agents with guardrails instead of blind trust.

Key Features

  • Policy engine to define and enforce what agents may and may not do
  • Zero-trust identity for authenticating agents and their actions
  • Execution sandboxing to isolate agent tool use and code execution
  • Reliability engineering patterns for safer autonomous operation
  • Coverage mapped to all 10 OWASP Agentic Top 10 risk categories
  • Python-based, framework-agnostic design from Microsoft
  • MIT-licensed open source with active development

๐Ÿ’ณ Pricing

The Agent Governance Toolkit is free and open source under the MIT license. There is no paid edition or hosted plan; you integrate the toolkit into your own agent infrastructure at no cost.

Who Is It For

This toolkit is for platform teams, security engineers and enterprises deploying autonomous AI agents in production who need governance, compliance and safety controls around what those agents can do.

๐Ÿš€ Visit Agent Governance Toolkit Official Site

๐Ÿšฉ Report an issue