Case Study: Payoneer achieves real-time fraud prevention and 4-month ROI with Iguazio Data Science Platform

Payoneer Uses Real-Time AI for Fraud Prevention

Payoneer, a digital payments platform and market leader in mass payouts for enterprises, marketplaces and small businesses, faced growing fraud and money‑laundering risks because its sophisticated ML models only ran offline and detected attacks after the fact. To serve predictive models against fresh, real‑time data and protect millions of customers, Payoneer partnered with Iguazio and adopted the Iguazio Data Science Platform to enable real‑time machine learning and analytics.

Using Iguazio, Payoneer built real‑time data pipelines, feature vectors and model endpoints (leveraging Nuclio functions, V3io streams and Spark) to evaluate up to 90 parameters per transaction and act automatically on suspicious events. The result: detection latency fell from 40 minutes to 12 seconds, ROI was realized in four months, false positives were minimized, and Payoneer now proactively prevents fraud and money‑laundering for 4M+ customers.

Payoneer

Yaron Weiss

Vice President Corporate Security and Global IT Operations