The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

Adversaries are already running AI agents, and the fastest attacks now play out in seconds. Sarah Guo and Elad Gil sit down with CrowdStrike president and CEO George Kurtz on what AI-equipped attackers mean for enterprise security. George explains how agents are flattening the adversary pyramid by putting advanced tradecraft in the hands of low-skill attackers, and why CrowdStrike and Nvidia are building a frontier-style lab of their own to train security models. They also get into how open-weight and closed models compare on security, where CrowdStrike is directing its platform investment, lessons from the recent Hugging Face incident, and why George sees AI, like every platform shift before it, as a net creator of opportunity. Sign up for new podcasts every week. Email feedback to [email protected] Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @CrowdStrike | @George_Kurtz Chapters: 00:00 – Trailer 00:59 – George Kurtz Introduction 01:24 – Agentic Landscape 02:45 – AI and Adversaries 04:51 – Open Weight Models and Adversarial Attacks 06:37 – Adversary Geography 08:34 – Attacker Capability in Context 11:24 – Hugging Face Takeaways 13:59 – CrowdStrike Frontier Security Models 16:32 – CrowdStrike Key Offerings 19:51 – What Differentiates CrowdStrike’s Models 23:57 – Near Term State of Security World 25:46 – State of Model Distillation 27:53 – Open Weight Model Importance and Cost 29:59 – Assessing Real Agent Threat 32:40 – Areas to Watch in AI 35:02 – Case for Defense Dominance 39:15 – Executive Advice 43:16 – Shifts Create Opportunity 45:27 – Conclusion