Teleport Agentic AI MCP Security provides identity-first access control, governance, and security for AI infrastructure environments. The platform addresses access management requirements for GPU training clusters, agentic AI systems, and autonomous infrastructure interactions. The solution treats AI actors including agents, LLM tools, bots, MCP tools, and digital twins as first-class identities within the access control framework. It implements attestable workload identities with short-lived credentials to eliminate static credential usage. The platform includes support for Model Context Protocol (MCP) to implement access and authorization controls between LLMs and data sources. Access policies can be enforced using role-based access control (RBAC) and attribute-based access control (ABAC) mechanisms. Just-in-time access elevation capabilities enable temporary privilege escalation for sensitive operations. The system provides audit logging and traceability for all access activities across AI workloads. Model protection features secure AI/ML model weights and training data. The platform supports autonomous operation requirements while maintaining governance controls over automated AI systems. Integration capabilities extend identity governance from human users to machine and AI identities across infrastructure environments.