AI agents are running hospital records and factory inspections. Enterprise IAM was never built for them.
The main issue preventing widespread deployment of agentic AI in enterprises is a lack of identity governance, which complicates accountability and access control for autonomous agents. Cisco's framework emphasizes the need for secure delegation, cultural readiness, and cross-domain visibility to build trust and enable effective use of AI agents in production environments.
For professionals focused on AI, a critical takeaway is the need to prioritize identity governance and cross-domain visibility infrastructure before scaling AI agents to production. With 85% of enterprises stuck in pilot mode due to trust issues, establishing secure delegation, cultural readiness, hybrid architectures, and robust networking platforms are essential. By implementing a trust architecture that includes role-based access control, privileged access management, and microsegmentation from the outset, organizations can overcome the trust gap, ensuring that AI agents can be deployed quickly and securely.