AI-native TPRM, built around named agents.

RiskXchange was founded in 2020 by a team that had spent a decade running risk programmes inside banks, insurers and regulators. The mission was simple: fix the third-party risk problem nobody had really solved.

The first answer was a comprehensive TPRM platform — 360° risk assessments, shared assessments, attack surface management, continuous monitoring. It ran on top of a continuously-growing network of monitored companies that gave every score and every brief real evidence underneath it. Customers who had been drowning in spreadsheets started running proper programmes. It worked.

But as we kept working with them, the same pattern kept showing up. Supplier counts climbed. Regulatory load climbed. And no matter how much the platform automated, the real bottleneck moved somewhere automation alone couldn't reach — the team itself. The skills and experience needed to run modern TPRM properly were getting harder to hire, and there were never going to be enough analysts to keep up.

That's when it clicked. The answer wasn't another dashboard or another integration. It was a different kind of team — one you didn't need to hire. In 2024 we started building the agentic TPRM workforce we'd come to believe was the only honest answer to the headcount problem.

Around the same time the network underneath the platform crossed five million companies, and we opened it up the other way — letting vendors publish their own trust pages back into it. The Trust Layer was the result: the shared backbone where buyer-side scoring meets vendor-side posture, both flowing through the same evidence framework.

We call the AI workforce The Agency. Five lead agents. Twenty-seven specialists. Each trained for a single part of the third-party risk lifecycle. Three layers. One product. The Platform is the system of record. The Trust Layer is the shared backbone. The Agency is the team.