Exclusive: Bain and Greylock bet $42 million that AI agents can finally fix cybersecurity's messiest bottleneck | Fortune
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Exclusive: Bain and Greylock bet $42 million that AI agents can finally fix cybersecurity's messiest bottleneck | Fortune
"The problem is familiar-and stubborn. In 2025, more than 48,000 new common vulnerabilities and exposures in software were reported, a 162% jump from five years prior, even as attackers increasingly use AI to probe fresh bugs within minutes of disclosure. "There are more vulnerabilities than you'll ever be able to remediate or imagine," Salem says. "The Holy Grail is, how do you figure out what to remediate because you'll never remediate everything.""
"Both Edupuganti and fellow co-founder Geng Sng came from Abnormal Security, where Edupuganti led product strategy and Sng built the ML fraud detection system that protects half the Fortune 500. Cogent's third co-founder, Thanos Baskous led infrastructure at Coinbase, where he was in charge of large-scale vulnerability remediation. The current Cogent team also includes hires from Google's Gemini/ DeepMind, Tesla, and Stripe, and already runs its platform in production "across large Fortune 500 enterprise environments." That traction, Motamedi argues, is "incredibly rare" for a comp"
Cogent Security raised a $42 million Series A six months after launch, bringing total funding to $53 million with Bain Capital Ventures, Greylock, and Definition participating. The company applies AI agents to shorten the gap between detecting software vulnerabilities and remediating them, with a focus on prioritization and automation to handle an exponential increase in reported vulnerabilities. The founding team and hires bring experience from Abnormal Security, Coinbase, Google's Gemini/DeepMind, Tesla, and Stripe. The platform already runs in production across large Fortune 500 enterprise environments, demonstrating early enterprise traction and specialized AI-cybersecurity expertise.
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