Case Studies

Fighting Fraud with Machine Learning: Stories from the Frontline

Case Study Booklet

Complimentary Resource

Thank you!

Please expect a confirmation email shortly. For questions, please contact insights@datavisor.com.

DataVisor empowers clients to restore online trust and fight fraud with advanced machine learning solutions. Here are the case studies about how DataVisor protects clients in e-commerce, social and financial services against reputational and financial losses.

Read the five stories from the frontline and learn how Datavisor enables:

What You Will Learn in this Case Study Booklet:

Top online marketplace to defeat mass registrations and fake listing scams
Leading review platform to maintain a trustworthy and safe digital environment
Global social platform to stop ATO and spam before damage occurs
Top e-commerce platform to reach real customers and prevent promotion abuse
Leading U.S credit card issuer to reduce application fraud losses

Trusted by Leading Brands

"DataVisor’s machine learning solution is the most critical component of our fraud defense as we grow in digital space, helping us minimize customer friction while defeating fraud risk."

Richard Cooney

Head of Fraud Strategy

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.