AI is the ultimate cybersecurity accelerant for both sides. In his latest sit-down with Harry Stebbings on the 20VC Podcast, our CEO, Nikesh Arora, shared how we used Anthropic's Mythos model to identify five years' worth of vulnerabilities in just six weeks. But there’s a catch: remediation still requires testing, validation, and human oversight. A single incorrect AI patch can crash an entire enterprise infrastructure. As AI accelerates vulnerability discovery, reducing the time between discovery and protection has become one of cybersecurity's most urgent challenges. Watch the full discussion on the future of AI and enterprise resilience. https://bit.ly/4p7KFhf
This reflects a broader systems pattern. When one constraint is removed, another becomes visible. AI is reducing the computational constraint. The next constraint is organizational, the ability to govern increasingly rapid decisions with the same level of confidence, accountability, and resilience. That's where the next competitive advantage will emerge.
Nikesh Arora Harry Stebbings This really highlights the double edge of AI in security. Finding five years of vulnerabilities in six weeks is incredible progress. And the point about human oversight is key ... speed means nothing without trust in the fix. Curious to hear how teams are balancing that urgency with safe remediation in practice. Palo Alto Networks
Overall, we're still ahead because vulnerabilities were found, yes? Humans had to stay in the loop to test the alleged vulnerabilities, but those humans also become smarter when they learn what was vulnerable. I'm not a developer, but it seems this is a path that will prove fruitful as the model and the builders become smarter and more accurate.