AI Is Finding Vulnerabilities Faster Than Humans Can Fix Them

The cybersecurity industry has spent decades getting better at finding vulnerabilities. Better scanners, better scoring systems, better detection. And yet breaches keep happening. The problem isn't discovery anymore. It's that security teams are drowning in critical alerts, most of which turn out to be noise, while the real bottleneck remains: how do you actually fix what matters before attackers exploit it? Now AI models like Mythos are about to flood teams with even more vulnerabilities than they can possibly remediate.

David Warshavski is co-founder and CPO of Tonic Security (https://www.tonicsecurity.com) and spent more than 20 years in cybersecurity, leading the red team and enterprise security department at Sygnia.

He explains why Mythos is both overhyped and a genuine warning sign, why the goal of security was never to plug every hole but to protect what keeps the business running, and how Tonic's agentic platform finally closes the gap between identifying risk and eliminating it at machine speed.

If you work in security or sit on a board trying to understand where the real threat lies, this conversation cuts through the noise.