Case Study: Fraud.net achieves $9.1M in annual fraud prevention and 17% higher new account approvals with Fraud.net

FACT SHEET Banking Fraud Prevention Platform

Fraud.net (the customer) needed to deliver fast, frictionless banking services while reducing fraud across channels and unifying customer and transaction data locked in silos. The vendor, Fraud.net, provided its Banking Fraud Prevention Platform — a cloud-based, real-time solution combining Collective Intelligence, machine learning–powered fraud detection, enterprise case management, and advanced BI analytics.

Fraud.net implemented its Fraud Detection Platform, enriching transactions with billions of consortium data points, scoring in real time against 600+ fraud schemes, and streamlining reviews with enterprise case management and visualization tools. The deployment delivered measurable impact: $9.1M in annual fraud caught, a 17% increase in new account approval rates, onboarding in 58 days, and sub‑300 millisecond threat detection, while improving decision accuracy and operational efficiency.

Fraud.net