While AI-powered defense tools have improved detection and response, attackers have become faster too—automating reconnaissance, mimicry, phishing, credential harvesting, and social engineering with alarming precision. This talk breaks down the new generation of AI-driven threats and the gaps they exploit: trust systems built for humans, predictable workflows, cognitive shortcuts, and legacy assumptions about identity and verification. Then we shift to what actually works: human-centered security patterns, resilience-based design, layered verification, behavioral engineering, and practical safeguards that don’t rely on “magic model thinking.” Attendees leave with a realistic, implementable strategy for securing systems against AI-enhanced adversaries.