[Guide] Eliminating False Positives in Fraud Management

Eliminate Customer Friction, without Risk

Download our guide to learn:

  • Why reactive, rules-base solutions lead to high false positives
  • How machine learning can boost fraud detection and improve CX
  • Practical steps to slash false positive rates to < 1%

No More False Positives!

Are false positives frustrating your good customers? How do they happen, and what new technologies can help reduce false declines without adding risk? This guide takes a deep dive into what causes false positives, and how unsupervised machine learning — along with deep learning and anomaly detection — can reduce fraud risk while removing friction from the customer experience.
A Practical Guide to Eliminating False Positives in Fraud Management
About DataVisor

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