Training Data

Securing the AI Frontier: Irregular Co-founder Dan Lahav


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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


00:00 Introduction

03:07 The Future of AI Security
03:55 Thought Experiment: Security in the Age of GPT-10
05:23 Economic Shifts and AI Interaction
07:13 Security in the Autonomous Age
08:50 AI Model Capabilities and Cybersecurity
11:08 Real-World AI Security Simulations
12:31 Working with AI Labs
32:34 Enterprise AI Security Strategies
40:03 Governmental AI Security Considerations
43:41 Final Thoughts

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Training DataBy Sequoia Capital

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