"One of my ongoing fixations in AI is what it's doing to cybersecurity. This week, I spoke with Gal Nagli, head of threat exposure at $32 billion cloud security startup Wiz, and Omer Nevo, cofounder and CTO at Irregular, a Sequoia-backed AI security lab that works with OpenAI, Anthropic, and Google DeepMind. Wiz and Irregular recently completed a joint study on the true economics of AI-driven cyberattacks."
"They found that AI-powered hacking is becoming incredibly cheap. In their tests, AI agents completed sophisticated offensive security challenges for under $50 in LLM costs - tasks that would typically cost close to $100,000 if carried out by human researchers paid to find flaws before criminals do. In controlled scenarios with clear targets, the agents solved 9 out of 10 real-world-modeled attacks, showing that large swaths of offensive security work are already becoming fast, cheap, and automated."
AI-driven cyberattacks are becoming dramatically cheaper and more automated. A joint study by cloud security and AI security firms found AI agents completing sophisticated offensive security challenges for under $50 in LLM costs, compared with roughly $100,000 if performed by human researchers. In controlled scenarios with clear targets, agents solved nine of ten modeled attacks, indicating broad portions of offensive security work can be automated. Recent capability improvements include models maintaining focus across multi-step challenges. Broader developments noted include U.S. scrutiny of Nvidia's role, major corporate AI-driven layoffs, and AI firms scanning and disposing of large book collections.
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