An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls
Quick Take
This tutorial demonstrates the implementation of Microsoft's Agent Governance Toolkit to create a governed AI-agent workflow. The framework ensures that all actions by AI agents pass through a governance layer that evaluates identity, trust score, risk tier, and other factors before execution, enhancing safety in tool use.
Key Points
- Utilizes Microsoft's Agent Governance Toolkit for AI agent workflows.
- Implements a governance layer for action validation before execution.
- Evaluates agent identity, trust score, and risk tier among other factors.
- Enhances safety protocols in AI tool usage.
- Provides a Colab-ready implementation for easy access.
Article Excerpt
From source RSS / original summaryIn this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point.
We create a Colab-ready implementation where agents do not directly execute tools; instead, every action first passes through a governance layer that checks the agent’s identity, trust score, risk tier, requested tool, action type, sensitivity level, and […] The post An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls appeared first on MarkTechPost.
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