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

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

  • Proactively captured coordinated and unknown fraud with 94% detection accuracy
  • Created frictionless experiences for good customers
  • Captured 25% more fraud while reducing false positives
  • Saved $15 million in fraud losses and operations in one year

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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.

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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.