Case Studies

Application Fraud: Leading U.S. Credit Card Issuer Saves $15M

Leading U.S. Credit Card Issuer Uses DataVisor’s Machine Learning Solution to Reduce Application Fraud Losses

Complimentary Resource

Credit card fraud can result in huge financial losses for both credit card issuers and their customers — but too many false positives lead to missed revenue opportunities. How do you strike a balance?

Large financial losses from coordinated third-party and synthetic fraud. Delayed application approvals and costly manual reviews due to too many false positives. Skyrocketing operational costs and increasing friction for customers. Something had to be done.

One major U.S. credit card issuer cracked the code with DataVisor’s advanced fraud detection solutions.

Read the full case study to learn how this major credit card issuer:

About DataVisor

Bots attacks cost companies roughly $80 billion a year. How do they work, and how can you stop them? In our latest ebook, DataVisor CTO and co-founder, Fang Yu, explains why coordinated bot attacks are so difficult to detect and prevent, and shares proactive strategies for protecting your organization.