Identity Security for AI Agent SecureAuth on Zero Trust | AppDevANGLE

Agentic AI is forcing enterprises to rethink identity security from the ground up. In this episode of AppDevANGLE, Paul Nashawaty speaks with Geoffrey Mattson, CEO of SecureAuth, about why AI agents require a new approach to identity, authorization, and Zero Trust. Unlike human users, AI agents operate continuously, execute actions at machine speed, and can change behavior based on context and intent. That makes static authentication and traditional IAM controls increasingly insufficient. The discussion examines how identity security and threat detection are converging, why continuous behavioral evaluation is becoming essential, and how enterprises can govern autonomous agents without creating unnecessary friction. Mattson also discusses passkeys, adaptive authentication, rogue agent behavior, token theft, phishing-resistant access, and the need to evaluate every agent action independently. Key Highlights: Why AI agents require continuous identity evaluation The convergence of IAM and threat detection Zero Trust architecture for autonomous agents Behavioral drift and rogue agent risk Adaptive authentication at machine speed Passkeys and phishing-resistant identity controls AI-enabled cyber threats and defensive automation Identity as the control plane for enterprise AI 00:00 - Intro 00:07 - Securing Identity: Challenges and Innovations in Cybersecurity 04:03 - Navigating Identity and Security Transformation 07:01 - Continuous Evaluation of AI Agents 09:05 - Enhancing Identity Security: Balancing Experience and Optimal Decision-Making 12:21 - Zero Trust: Beyond Networking to Identity Focus 14:38 - AI's Role in Cybersecurity: Identity and Emerging Threats 19:20 - Comprehensive Guide to AI Security and Resources