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

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

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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-weig

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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 show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @CrowdStrike | @George_Kurtz Chapters: 00:42 – Trailer 00:59 – George Kurtz Introduction 00:12 – Agentic Landscape 01:34 – AI and Adversaries 03:40 – Open Weight Models and Adversarial Attacks 05:27 – Adversary Geography 07:24 – Attacker Capability in Context 10:14 – Hugging Face Takeaways 12:49 – CrowdStrike Frontier Security Models 15:22 – CrowdStrike Key Offerings 18:41 – What Differentiates CrowdStrike’s Models 22:47 – Near Term State of Security World 24:37 – State of Model Distillation 26:42 – Open Weight Model Importance and Cost 28:49 – Assessing Real Agent Threat 31:29 – Areas to Watch in AI 33:52 – Case for Defense Dominance 38:03 – Executive Advice 42:05 – Shifts Create Opportunity 44:14 – Conclusion

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