agent-governance-toolkit (microsoft/agent-governance-toolkit) is an open-source AI project on GitHub. Repository summary: AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10. Its focus includes developer-centric engineering workflows, security and compliance automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
1,259
Features
- Core capability: AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
- Built for code generation, debugging, or engineering integration
- Covers security testing, risk detection, or compliance workflows
- Repository: microsoft/agent-governance-toolkit
- Primary language: Python
- Open-source license: MIT
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for security assessment and compliance automation
- Build internal AI workflow prototypes with agent-governance-toolkit
- Validate agent-governance-toolkit in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/microsoft/agent-governance-toolkit. Community traction is around 1,259 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Used for security assessment and compliance automation, Build internal AI workflow prototypes with agent-governance-toolkit.
