AI Agent Security: 7 Capabilities to Require From Any Platform You Evaluate

AI agent security is a pressing concern for organizations evaluating platforms, with most existing guidance focusing on abstract principles rather than actionable capabilities. A significant number of companies have experienced security incidents involving AI agents, highlighting a gap between monitoring these agents and controlling them effectively. Key capabilities to demand from platforms include per-agent identity for clear attribution, source-system permission mirroring to ensure agents only access what their users can, and action-level policy enforcement to specify action parameters. Additionally, protection against tool drift, a unified audit log for comprehensive oversight, continuous discovery of known and shadow agents, and rigorous production controls are essential for secure deployment. Without these features, organizations risk mismanagement and security breaches, underscoring the importance of demanding platforms that can demonstrate these capabilities convincingly during evaluations.