The Efficiency of Machine Learning.
The Accuracy of Predictive Analytics.
The Clarity of Human Insight.
Rippleshot uses the power of big data and machine learning to predict risk, pinpoint threats and protect banks and credit unions by reducing fraud losses, unnecessary reissuance costs and customer impact. We proactively monitor suspicious fraudulent activity and implement smarter fraud risk management strategies to combat the spread of compromised card fraud. Our AI-driven, partnership-powered approach is built to help your team strategically scale.
Why invest in yesterday’s solution? Rippleshot was built with tomorrow in mind.
Rippleshot Sonar is an AI-based fraud analytics platform designed for today’s banks and credit unions.
Identifies compromised cards and associates them with breached merchants.
Locates fraud points of origin and identifies potential reach.
Classifies cards with the highest and lowest probability of becoming fraudulent so issuers know where to focus their efforts.
Analyze 10x more incidents; 4x faster than CAMS alerts
Reissue with 99% accuracy
Reduce annual fraud losses by 15-25%
Stopping Fraud at the Speed of Data
Our award-winning technology monitors millions of transactions every day to identify card fraud at its point of origin — the compromised merchant. With that level of insight, issuers, merchants and processors can detect and respond to the use of compromised card information faster and more efficiently than ever before. Watch the video to see how.
A regional financial institution with $10 billion in assets used Rippleshot Sonar for two years, here’s what happened: