Generative AI Weaponized - Why Zero Trust Isn't Enough

Explore the critical intersection of generative AI and cybersecurity in this 46-minute podcast interview featuring Wes Reisz (QCon AI New York 2025 Chair) and Shuman Ghosemajumder (CEO of Reken, Ex-Google Trust & Safety). Examine how generative AI fundamentally changes the threat landscape and why traditional zero trust approaches fall short against AI-weaponized attacks. Discover the concept of "negative day" attacks where attackers leverage large language models to bypass authentication systems at unprecedented scale. Learn about the "Gell-Mann Amnesia" effect and how it blinds users to AI-generated hallucinations and deepfakes. Understand how generative AI solves the "last mile" problem for fraudsters, enabling sophisticated social engineering attacks that were previously impossible to execute at scale. Gain practical insights for software architects on implementing behavioral telemetry, applying game theory principles to defense strategies, and designing systems that eliminate default trust assumptions. Explore the evolution from physical crime to exponential cyber attacks and why traditional intuition about scale breaks down in the generative AI era. Examine the proliferation of deepfakes and AI-generated content, the risks of AI-generated code in development workflows, and strategies for aligning threat models with business incentives. Master advanced cybersecurity concepts including continuous observation techniques, behavioral analysis methods, and the critical importance of moving beyond static security models to dynamic, AI-aware defense systems.