Identity Best Practices to Secure and Scale Agentic AI / MCP Deployments

As organizations adopt agentic AI systems and MCP-based architectures, strong identity foundations become essential—not just for security, but for reliability, governance, and scale. This session explores the modern identity patterns that enable safe, compliant, and high-performance AI deployments. We’ll break down practical strategies for implementing scope-based access control that keeps agents precisely permissioned; robust token management and secure storage workflows that reduce exposure risks; and user consent management models that ensure transparency, trust, and regulatory alignment. Attendees will walk away with a clear understanding of the architectural building blocks, operational guardrails, and best-practice identity controls needed to protect sensitive data, enforce least privilege, and confidently scale agentic AI across their organization.