Governing Autonomous AI Agents

Autonomous AI agents are already operating inside enterprise environments. They analyze security alerts, execute workflows, write code and interact with critical systems.

These systems can act with delegated authority, access sensitive data and make decisions across multiple platforms. As their role expands, security leaders must determine how these systems are governed, where oversight belongs, and how to ensure they operate within defined controls.

This CyberEdBoard report provides practical frameworks and operational models for managing autonomous AI agents in enterprise environments.

Inside the report:

• Governance structures for AI agents operating across enterprise systems
• Identity, access, and accountability models for autonomous agents
• Guidance on where human oversight should exist in agent-driven processes
• Approaches for aligning agent autonomy with enterprise risk management
• Practical guardrails for monitoring and controlling agent behavior

Developed by enterprise security and technology leaders, this report outlines approaches organizations are using to govern AI agents as they become embedded across enterprise operations.