Training Data Securing the AI Frontier: Irregular Co-founder Dan Lahav
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Oct 21, 2025 
Dan Lahav, co-founder of Irregular and a frontier AI security expert, dives into the thrilling world of autonomous AI and its cybersecurity implications. He discusses the rise of AI-on-AI interactions as a major threat and how emergent behaviors signal a significant shift in defense strategies. Dan emphasizes the need for proactive security measures and the importance of collaboration with major AI labs to identify threats early. He also highlights novel risks posed by models socially engineering each other and the urgent need for enterprises and governments to rethink their defenses.
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Autonomous Agents Reshape Economic Activity
- AI agents will shift economic activity from human-to-human to AI-on-AI and human-on-AI interactions.
- That transition will fundamentally change enterprise architectures and require new security paradigms.
Rapid Capability Gains Enable Complex Exploits
- Model cyber capabilities are improving rapidly quarter-to-quarter across coding, tool use, multimodality, and reasoning.
- These combined gains enable chaining complex exploits that were infeasible months earlier.
Measure First, Defend Second
- Invest in high-resolution measurement and research to understand emerging model capabilities.
- Map legacy defenses, identify gaps, and build R&D-backed, cost-effective protections before deployment.