Why Mythos Finding Vulnerabilities Faster Doesn't Make You More Secure

InnovationWhy Mythos Finding Vulnerabilities Faster Doesn't Make You More SecureBySeemant Sehgal,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 29, 2026, 07:30am EDTSeemant Sehgal is Founder & CEO of BreachLock Inc., a leader in Continuous Attack Surface Discovery & Penetration Testing as a Service. getty​Every few weeks, I see the same thing happen. A major AI lab ships a new frontier model, the security industry erupts with headlines about autonomous vulnerability discovery and my inbox fills up with variations of the same question from CISOs and security leaders: "Does this change everything?"​My answer, after 30 years in this industry—first running security programs as a part of the CISO's office, then building security products from the vendor side—is always the same: Faster discovery has never been the constraint. And until we're honest about that, we'll keep celebrating the wrong milestones.​The Metric That Actually Matters​The AI models like Mythos getting attention right now are genuinely impressive. Discovery is faster, broader and more autonomous than anything I saw coming up in this industry. That's real progress, and I don't want to dismiss it.​But here's what I've noticed after three decades of watching technology waves reshape this space: Every leap in discovery capability tends to widen a gap that already exists. This is the gap between what you find and what you actually fix.​When I was running security programs, the problem was never that we couldn't identify enough vulnerabilities. It was that we had more findings than we could confidently validate, more validated findings than we could intelligently prioritize and more prioritized findings than engineering teams could absorb without disruption. AI acceleration doesn't close that...