Protos Labs was founded by cyber operators from Booz Allen Hamilton. Since 2024, we've built the Protos AI platform alongside defense and intelligence teams — where a wrong answer isn't an inconvenience, it's a mission failure. That's the standard we build to.

We started by putting a dollar figure on cyber risk, based on real adversary behavior rather than generic frameworks. For a while, cyber insurance was where that work fit best, so we focused there.

But customers kept coming back to one part of it: the threat work. Threat feeds, vulnerability disclosures, dark web chatter, security alerts — all available, almost none of it tied to a specific organization. What does this threat mean for us? Which of our assets, people, vendors, and data does it touch? What do we do first? Answering took analysts hours per incident — and it was exactly what executives and boards needed before they could decide anything.

Agentic AI changed that. By 2024, models were good enough to take a threat advisory, a vulnerability disclosure, or a suspicious signal and do the analysis a junior analyst would — across more sources, and far faster. So we refocused Protos Labs on Adversary Intelligence and rebuilt the product around that gap: the distance between a piece of threat data and what it means for the team reading it.

The work the product does — building a picture from incomplete data, working across sources, and producing conclusions that hold up under review — is the work our founders did for years before they started the company. We built the platform to do it at scale.