AI Adoption Is Outpacing Security—Here’s What Leaders Must Fix

Why is AI governance falling behind adoption? Live from RSAC, Delinea’s Jackie Blundell sits down with Chris Hughes (Founder & Podcast Host, Resilient Cyber) to unpack why security teams are struggling to keep pace with agentic AI—and what needs to change. They explore how autonomous agents are reshaping identity security, why traditional approaches are breaking down, and where leaders should focus to regain control. Key Takeaways: AI adoption is outpacing security—again. Business pressure and competitive urgency are driving rapid AI deployment, while security teams struggle to keep up with governance and controls. Agentic AI introduces a new risk paradigm. Unlike traditional software, agents act autonomously, use tools, and pursue goals in unpredictable ways—making them harder to secure. AI agents are becoming a new class of identity. Organizations are treating agents like human users—but often granting them excessive permissions, repeating past mistakes at scale. Visibility is the first step. You can’t secure what you don’t see—understanding what agents exist, what they access, and what actions they take is foundational. Least privilege must evolve to “least autonomy.” Controlling not just access, but what agents are allowed to do—and when—is critical in limiting risk. There’s a growing confidence gap. Many organizations believe they’re prepared for AI security—but lack the foundational controls (like JIT access or ephemeral credentials) to support it. Want more cybersecurity insights? Discover more: https://delinea.com #aigovernance #aiagents #aiadoption