Intelligence center Case Studies

Global Card Network Boosts Transaction Fraud Detection

A global payment solutions provider handling several trillion dollars in payments each year needed to replace their decaying fraud detection models to stay ahead of rapidly-evolving threats.
The card network had an array of fraud security gaps:

  • Couldn’t handle real-time fraud detection for massive-scale data sets.
  • Limited insights from digital data due to incomplete/missing information.
  • Decaying model was behind as sophisticated threats loomed.
Learn How to Fight Fraud with AI
The Results
transaction fraud detection uplift.
detection accuracy.
faster to build a new model.
  • DataVisor’s open machine learning modeling captured fast-evolving new fraud patterns.
  • The new platform’s big-data nature can compute digital data with QPS and low latency, ensuring streamlined model development and production deployment.
  • DataVisor’s feature engineering platform worked with imperfect or partially filled data so the network could utilize digital signals even when fields were missing.

Top Payment Network Boosts Transaction Fraud Detection background

About DataVisor

DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.