video1.0<iframe src="https://www.loom.com/embed/c19fe9e5556b4ce1b59cfba504c8f151" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/c19fe9e5556b4ce1b59cfba504c8f151-afe3ef832c4ec5f3.gif1254.926This Loom demos how Fraudio’s platform helps acquiring teams investigate and prevent payment fraud using real time scoring and configurable workflows. It shows an executive overview and reporting that is filterable by date and connected to API data, then details payment fraud detection outcomes like red alerts that block and yellow alerts that require review, including options such as 3DS, hold, reverse, or other actions. It explains merchant and transaction views with filtering down to raw API data, plus network benchmarks across over 2,000,000 monitored merchants and MCC peer groups. The Loom also covers investigation cases with auditable history and outcomes that feed back into AI, and a rule editor for screening and monitoring rules with shadow mode before enabling production, along with notifications via email and webhooks.