Real-Time and Near-Real-Time

MINTify rule is the first solution allowing optimised mixing of real-time and near real time fraud prevention processing. Generated rules can be applied either by a real time monitoring system or a near-real time module as SQL queries in order to detect suspicious transactions.

One of the key advantages to many existing fraud detection and prevention systems is the simple deployment of MINTify rule as an add-on to existing infrastructure. The system easily adapts to any existing database for searching fraud patterns. The rules are generated automatically and are subsequently provided to the respective system. The huge benefit is avoiding an expensive and risky migration to form a new real-time system. All that is needed is an interface to the existing system for a fast and easy implementation of MINTify rule.

Automatic Scoring or Rule-based Prevention – Not a question anymore

You do not need to choose between automatic scoring and rule-based-systems anymore. PAYMINT provides a solution that combines the best of both worlds: MINTify offers a fraud-mining algorithm that creates automatically the optimal set of fraud-prevention rules – in near-real-time. It doesn’t need an IT-Expert to read the rules.

Every rule comes with quality criteria such as a detection rate and an error-rate. Depending on your risk tolerance and customer-service focus, you decide whether a rule goes in your real-time system to block all activities concerned or whether it should just create alerts.