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Sonar uses machine learning on millions of card transactions from a network of banks and credit unions to detect and deliver a daily view of compromised merchants, cards at risk, and suspicious transactions with more frequency and higher accuracy.

Sonar’s machine learning and predictive analytics tools give financial institutions the power to manage card growth and risk today as well as the ability to address the fraud problems of tomorrow. With Sonar, financial institutions: Reduce card present and card not present fraud, reduce call center costs and chargebacks, avoid unnecessary reissuance, improve decision rules and improve cardholder satisfaction.


Rules assist equips financial institutions with AI and machine learning-powered analytics that precisely guide teams to the right rules, and anticipate fraud before it occurs.Rules Assist uses Artificial Intelligence to identify fraud patterns. Rules Assist delivers comprehensive analytics, enabling you to write rules that fit your strategy.

We’ll help you identify merchants on which to write rules to fit your strategy and help you gain full data context to identify merchants for your card portfolio. Rules Assist helps you learn: High fraud merchants, high velocity merchants, false and fraudulent merchants, merchant declines, test transactions, high fallback, PIN-based merchants and high fraud acquirers.