Intelligence Center
/
Case Studies

Stopping Emerging BNPL Fraud Rings in Real Time

Discover how a high-volume buy now, pay later provider uses unsupervised machine learning to detect new, coordinated fraud attacks with ultra-low latency—while improving review efficiency and reducing false positives.

  • $36M  Reduction in fraud losses
  • 74%   Fraud Recall
  • 5x       Operational efficiency, supported by real-time decisioning. 
  • 41%  Reduced false positives

    • ‍

    The Results

    60%

    Reduction in Fraud Losses

    60%

    Reduction in Fraud Losses

    60%

    Reduction in Fraud Losses

    The Results

    DataVisor Case Study - Stopping Emerging BNPL Fraud Rings in Real Time _ Banner Image

    Interested in AML Compliance?

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

    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.

    Winning the Fight Against Fraud and AML Year After Year