Autonomous defense for the human layer

AI has compressed the cost of targeted attacks toward the cost of commodity ones: chained exploits stitched together from public data, personal devices, and third-party dependencies — linked by agents. Techniques that once cost a state-level operator a week now cost an afternoon. The economic threshold that made most people not worth attacking has eroded.

The attack surface has moved with it. Personal devices, personal accounts, and personal communications now sit on the path to corporate breaches. A malware-infected browser leaks an OAuth token. A deepfaked voice clears a wire transfer. A compromised vendor pivots into a hundred customers. The Verizon DBIR puts the human element at the center of around 60% of breaches, three years running, and finds third-party involvement in breaches doubled in 2024. The average breach now costs $4.88M.

The industry's response has been to train the human. The same DBIR found that recent training quadruples how often employees report phishing emails, from 5% to 21%, but barely moves whether they click in the first place. Organizations with regular awareness training still post a median click rate of 1.5%. Training improves what happens after someone clicks, not whether they click. And training is the strongest defense the industry aims at the individual. Everything else, from EDR to email gateways to SSO to vendor reviews, is built around the company they work for, not around them.

Awareness training assumes a human can out-pattern-match a machine. They can't. We're building defense that acts before the human notices, reaching the quiet places where a modern breach actually starts.