Analyzing Zero Trust Architecture in the Age of Agentic GenAI

Explore the intersection of Zero Trust Architecture and agentic generative AI in this 49-minute conference talk that examines how traditional security frameworks must evolve to address the unique challenges posed by autonomous AI agents. Learn how Zero Trust principles of "never trust, always verify" apply to AI systems that can make independent decisions and take actions without direct human oversight. Discover the security implications of agentic AI systems that can interact with multiple resources, APIs, and data sources while maintaining the core tenets of Zero Trust including continuous verification, least privilege access, and micro-segmentation. Understand the challenges of implementing identity and access management for AI agents, monitoring and auditing autonomous AI behavior, and establishing trust boundaries in environments where AI agents operate across traditional network perimeters. Gain insights into practical strategies for securing AI-driven workflows while maintaining the flexibility and intelligence that make agentic systems valuable, and explore emerging best practices for integrating AI governance with Zero Trust security models.