[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.

Trusted by Leading Brands

About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.