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Microsoft Agent Governance Toolkit

Workflow Security Early

Seven-package runtime security governance for autonomous AI agents. Covers all 10 OWASP Agentic Top 10 risks with sub-millisecond deterministic policy enforcement and zero-trust identity.

947 starsMIT (commercial OK)FreeNo code needed
Early Access — Official Microsoft release (April 2, 2026). Very new but vendor-backed.
Official tool maintained by Microsoft.

First comprehensive governance framework from a major vendor addressing all OWASP agentic risks. Available in Python, TypeScript, Rust, Go, and .NET.

Security teams building governance policies for AI agent deployments. Works with LangChain, CrewAI, Google ADK, and Microsoft Agent Framework.

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https://github.com/microsoft/agent-governance-toolkit

By Microsoft

How to Get It

This is a methodology or approach. Paste the instructions below into a Claude conversation to get started.

Instructions to paste into Claude
Microsoft Agent Governance Toolkit is a toolkit of commands, skills, and configs. See the source link above for the full collection — pick the pieces relevant to your workflow.

Paste the source URL into a Claude conversation and ask: "Read this and help me adapt the relevant parts to my project."
CostFree

Trust Signals Automated Scan

Stars947Contributors48Last updated2026-04-11LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-11 · scanner v1

Data & Access

Connects toMicrosoft servers (official integration)

Community Pulse Active

Discussed on Hacker News, Reddit

18 mentions across 2 sources

Reviewer notes

Automated Scan review. These are observations, not a security certification.

Official Microsoft. Designed for security. MIT license.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
5/5
Overall score3.30 / 5.00 EarlyEvaluatedApr 2026

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