AI Agent Governance: Securing Autonomous Agents in Production

AI agents are already in production, authenticating as real users and executing multi-step workflows without waiting for sign-off. AI agent governance grants permissions, proves past actions, and prevents unauthorized behavior. Governance must start at deployment, as risks increase with higher autonomy and broader access. Clearly defining authority boundaries during creation is essential to avoid reactive patches later on. Core pillars of AI agent governance include security and identity access control. Each agent action should operate under the original user's scope, tying each agent to a known identity and minimizing credential permissions.