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Case Studies

US-based Card Issuer Boosts Detection, Lowers False Positives

Learn how this large U.S. card issuer uses DataVisor’s holistic, AI-powered approach to:

  • Reduce false positives by 40%.
  • Increase fraud capture rate by 50% without hiring more reviewers.
  • Reduce review time per case to < 1 min with powerful case review tools.

The Results

60%

Reduction in Fraud Losses

60%

Reduction in Fraud Losses

60%

Reduction in Fraud Losses

The Results

A large U.S. card issuer with $1.4 billion in annual revenue was launching digital banking services to offer online checking, savings, ACH, check deposits and wire transfers through online and mobile applications. They needed multiple layers of proactive protection to reduce false positives and detect more fraud, while minimizing friction for customers.

Read the case study to learn how the client leverages DataVisor’s powerful machine learning, advanced case management tools, and insightful reporting to defeat fraud before damage can occur, while providing an exceptional customer experience.

Leading US-based Card Issuer Case Study Featured Image|leading card issuer case study cover image

Interested in AML Compliance?

Don’t miss the Datos Case Study on DataVisor’s gold medal-winning AML platform.

Winning the Fight Against Fraud and AML Year After Year

About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.