XBOW CEO and GitHub Copilot Creator Oege de Moor: Cracking the Code on Offensive Security With AI
Dec 10, 2024
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Oege de Moor, founder and CEO of XBOW, and creator of GitHub Copilot, dives into how AI is revolutionizing offensive security. He reveals that XBOW’s AI can outperform human penetration testers, completing security assessments in mere minutes. Oege discusses the proactive nature of this technology in uncovering vulnerabilities and adapting to evolving cyber threats. He also shares insights on innovative pricing strategies for continuous testing and highlights the broader implications of AI in various industries, sparking excitement for future innovations.
Oege de Moor explains how XBOW's AI offensive security tool significantly reduces assessment times, matching human experts while enhancing efficiency and cost-effectiveness.
The podcast highlights the escalating arms race in cybersecurity, as both defenders and attackers leverage AI, necessitating continuous vulnerability assessments to improve security outcomes.
Deep dives
The Dual Threat of AI in Cybersecurity
The integration of AI in code generation has led to an increase in vulnerabilities due to the widespread availability of insecure public source code. As more code is generated, the number of potential security issues rises, creating a greater threat landscape that attackers can exploit. Simultaneously, malicious actors are also leveraging AI to enhance the efficacy of their attacks, resulting in an arms race between cyber defenders and attackers. This dynamic necessitates the use of automated tools, like those developed by Expo, to proactively address these emerging security challenges.
Expo's Breakthrough Performance
Expo's AI penetration testing tool has demonstrated remarkable results by scoring 85% on newly established benchmarks designed to test its capabilities. This version of the AI not only matches the proficiency of top human penetration testers but does so with significantly less time investment—28 minutes compared to 40 hours for experienced professionals. This efficiency showcases the potential for AI to transform enterprise security practices by automating complex tasks, allowing human resources to focus on more creative problem-solving. Such results raise questions about dependence on traditional testing methodologies versus the evolving role of AI in security assessment.
The Importance of Continuous Security Testing
Expo aims to redefine the offensive security market by transitioning from infrequent, costly penetration tests to continuous security assessments. Traditional penetration testing occurs only once or twice a year at high costs, often leaving systems vulnerable for extended periods. By automating the process and enabling ongoing testing, Expo provides a solution that continuously identifies vulnerabilities as systems evolve. This shift not only improves the security posture of enterprises but also offers a cost-effective approach that can significantly reduce risks over time.
Advancing Human Understanding in Cybersecurity
The development of Expo is rooted in creating an AI that can understand and explore applications similarly to how skilled human penetration testers operate. The AI's ability to autonomously identify vulnerabilities without explicit instructions demonstrates its advanced reasoning capabilities, which can surpass traditional methods of penetration testing. By utilizing benchmarks and ongoing learning, the AI continues to evolve, providing deeper insights that may remain inaccessible to human testers operating under conventional constraints. This innovative approach marks a pivotal shift in how cybersecurity challenges are addressed, emphasizing the need for a blend of human ingenuity and AI efficiency.
Oege de Moor, the creator of GitHub Copilot, discusses how XBOW’s AI offensive security system matches and even outperforms top human penetration testers, completing security assessments in minutes instead of days. The team’s speed and focus is transforming the niche market of pen testing with an always-on service-as-a-software platform. Oege describes how he is building a large and sustainable business while also creating a product that will “protect all the software in the free world.” XBOW shows how AI is essential for protecting software systems as the amount of AI-generated code increases along with the scale and sophistication of cyber threats.
Hosted by: Konstantine Buhler and Sonya Huang, Sequoia Capital
Mentioned in this episode:
Semmle: Oege’s previous startup, a code analysis tool to secure software, acquired in 2019 by GitHub
Nico Waisman: Head of security at XBOW, previously a researcher at Semmle