iPrevent is the only adaptive real-time fraud prevention software.

It has the highest detection rate and the lowest false positive rate.

Detecting and preventing fraud is a dynamic and continuously evolving process. Existing solutions based solely on Neural Networks, Business Rules, Data Mining, Statistics, SVM and Bayesian Networks fail to efficiently prevent fraud because:

• Even though each merchant has a unique activity pattern, these technologies apply the same logic for all merchants!
• Even though each cardholder has a unique spending pattern, these technologies apply the same logic for all cardholders!

These limitations result in poor detection rates and generate a large number of false positives. Even worse they are outdated as soon as they are released because they lack the ability to adapt to new fraud schemes.

By integrating a powerful combination of Artificial Intelligence and Smart-Agents technologies into one unified, easy-to-use product, iPrevent evaluates, in real-time, behaviors specific to each individual cardholder and/or merchant which results in the highest detection rate and the lowest false positive rate on the market.

Additionally, iPrevent's unique self-adaptive ability allows models to learn and make effective changes at runtime and therefore, is the only product on the market with the ability to identify and stop, in real-time, previously unknown fraud schemes and offers the longest lifespan on the market.

iPrevent is used, in real-time, to prevent acquirer and issuer fraud, card not present fraud, card present fraud, e-commerce fraud, moto, credit, debit, corporate and prepaid card fraud, internal fraud, trading fraud, retail fraud, wire and ACH fraud, deposit and account takeover fraud, check and mobile payment fraud. Additionally, iPrevent is successfully used for compromised account detection by financial institutions, insurance companies, retailers, healthcare and mobile payment providers.

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