What happened in this episode?
CrowdStrike founder and CEO George Kurtz tells the No Priors podcast that the spread of AI agents inside enterprises is outpacing organisations’ ability to track them, describing ‘shadow AI’ as a growing governance and identity problem. He argues that AI is also compressing the traditional hierarchy of cyber adversaries, claiming ‘ablated’ and open-weight models without guardrails can give low-sophistication actors capabilities that previously resembled nation-state tradecraft.
Kurtz describes operational changes he says CrowdStrike is observing, including sharply reduced ‘breakout time’—the interval between initial access and lateral movement—claiming an average of 29 minutes and cases as fast as 27 seconds. He also contends that defenders increasingly face prompt-driven attacks that can generate unique behaviours, making signature-based detection harder.
On the defensive side, Kurtz outlines CrowdStrike’s ‘SafeMind’ initiative, including red- and blue-team models and an approach he says was influenced by Nvidia’s push for ‘digital twins’ of customer environments. He argues that frontier AI models’ safety refusals can hinder defensive work, and claims in-house security models can reduce per-task costs dramatically, while also addressing customers’ concerns about sending sensitive data to external AI labs.
Kurtz predicts enterprises will rely more on open-weight models as token costs rise, and he is sceptical of claims that society will need to ‘turn the internet off’, arguing agents generally replicate human techniques faster rather than inventing entirely new classes of attack.