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Training Data
Sequoia Capital
Securing the AI Frontier: Irregular Co-founder Dan Lahav
44 minutes Posted Oct 21, 2025 at 9:00 am.
Introduction
The Future of AI Security
Thought Experiment: Security in the Age of GPT-10
Economic Shifts and AI Interaction
Security in the Autonomous Age
AI Model Capabilities and Cybersecurity
Real-World AI Security Simulations
Working with AI Labs
Enterprise AI Security Strategies
Governmental AI Security Considerations
Final Thoughts
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44:09
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Show notes
Irregular co-founder Dan Lahav is redefining what cybersecurity means in the age of autonomous AI. Working closely with OpenAI, Anthropic, and Google DeepMind, Dan, co-founder Omer Nevo and team are pioneering “frontier AI security”—a proactive approach to safeguarding systems where AI models act as independent agents.
Dan shares how emergent behaviors, from models socially engineering each other to outmaneuvering real-world defenses like Windows Defender, signal a coming paradigm shift. Dan explains why tomorrow’s threats will come from AI-on-AI interactions, why anomaly detection will soon break down, and how governments and enterprises alike must rethink defenses from first principles as AI becomes a national security layer.
Hosted by: Sonya Huang and Dean Meyer, Sequoia Capital