AI agent governance

7 posts about AI agent governance by 4 contributors.

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Articles: 7
Contributors: 4

Articles about AI agent governance

Article · AI Agents
Why AI Agents Overstep and How to Build Agents That Stay Within Their Boundaries
Learn why AI agents exceed task boundaries and how to constrain them with task contracts, least-privilege access, authorization controls, and prompt-injection defenses.
Mahesh ChandOct 173,6171,000
Article · Software Architecture/Engineering

AI Agent Production Readiness: Measuring Observability, Governance, Evaluation, and Recovery

Learn how to assess AI agent production readiness with observability, governance, evaluation, security, failure recovery, performance monitoring, and operational controls.

Saurav KumarAug 316,9651,000

Article · Cyber Security

GitHub Copilot MCP Allowlists: Designing Enterprise Controls for Agent Tools

Learn how to design enterprise MCP allowlists for GitHub Copilot agent tools, controlling tool access, permissions, security risks, and governance.

Niharika GuptaAug 275181,000

Article · AI Agents

Building AI Tool Approval Workflows with Microsoft Foundry

Learn how to build AI tool approval workflows with Microsoft Foundry using human-in-the-loop controls, permissions, authorization, auditing, and secure agent execution.

Saurav KumarAug 192,8041,000

Article · AI Native

Microsoft Foundry Toolboxes: Designing Centralized AI Tool Governance

Learn how Microsoft Foundry Toolboxes can centralize AI tool governance through authentication, lifecycle management, versioning, permissions, discovery, and enterprise controls.

Niharika GuptaAug 193,4831,000

Article · AI Agents

AI Agent Governance: Managing Permissions, Auditing, and Compliance

Learn how to implement AI agent governance in enterprise .NET applications using permissions, auditing, compliance controls, role-based access management, and monitoring best practices.

Niharika GuptaJun 82,6951,000

Article · AI Agents

Enterprise Safety for AI Agents: What It Is and How to Control Risk

Learn what enterprise safety for AI agents means and how to implement governance, guardrails, and risk controls to deploy agents securely, compliantly, and at scale.