Cracking the Code on Offensive Security With AI | Sequoia Capital

How XBOW’s Autonomous AI Hacker Is Redefining Penetration Testing and the Future of Cybersecurity

In this episode, XBOW founder and CEO Oege de Moor discusses how autonomous AI is transforming offensive cybersecurity and why AI-powered penetration testing is becoming essential in an era of AI-generated code and AI-enabled attackers. Drawing on his experience creating GitHub Copilot, de Moor explains how XBOW applies frontier AI models to autonomously discover, validate, and report real-world software vulnerabilities at a speed and scale previously impossible for human teams alone.

The conversation highlights XBOW's breakthrough performance, with the platform matching elite human pentesters on challenging security benchmarks while completing tasks in minutes instead of dozens of hours. De Moor shares real examples of the AI autonomously chaining together multiple discoveries to uncover critical vulnerabilities in enterprise applications, demonstrating reasoning and persistence that closely mirrors experienced security researchers.

Beyond the technical achievements, the discussion explores how AI will fundamentally reshape the penetration testing market. Rather than replacing security professionals, XBOW enables organizations to move from expensive, annual assessments to continuous testing that keeps pace with modern software development. The result is stronger security, faster remediation, and greater confidence that exploitable vulnerabilities are being found before attackers do.

De Moor also explains the technology behind XBOW, emphasizing that the real innovation lies beyond the foundation models themselves. Specialized security datasets, custom browser automation, proprietary tooling, benchmark-driven training, and extensive safety guardrails allow the platform to operate safely in production environments while continuously improving from new data.

Looking ahead, the conversation explores the future of AI agents, software development, and application security. De Moor argues that as AI capabilities accelerate, success will depend on focused teams moving quickly, and that autonomous offensive security will become a foundational layer of enterprise software development. His broader vision is clear: use AI to secure software at machine speed before malicious actors can do the same.