Use Case

Chargeback & Fraud Reduction

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Problem Summary

Payment processors face high exposure to fraud-related chargebacks—often caused by card testing, transaction fraud, bot-driven attacks, and friendly fraud. High chargeback ratios result in increased scheme penalties, reputational damage, and merchant churn.

How Verafye Solves It

Verafye reduces fraud upstream by identifying risky transactions before authorization. Using device fingerprinting, velocity scoring, behavioral analytics, and AI/ML pattern recognition, it flags abnormal intent such as rapid transaction attempts, mismatched device identities, or unusual spending behavior.

Key Capabilities Used

  • Real-time transaction monitoring
  • Device fingerprinting & network risk signals
  • AI/ML anomaly detection & pattern recognition
  • Velocity rules for card testing prevention
  • Automated alerting & fraud case management

Business Impact

  • Dramatically lower chargeback rates across merchants
  • Earlier detection of fraudulent transaction patterns
  • Reduced scheme fines and fraud penalties
  • Higher merchant trust & platform credibility
  • Healthier processing ecosystem with fewer losses