Feedzai Partners with Datastax for Real-Time Fraud Analysis

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feedzai-logoFeedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, and DataStax, the company that delivers Apache Cassandra to the enterprise, today announced a commercial partnership under which Feedzai is now part of the DataStax Partner Network. Through the partnership, Feedzai will use Apache Cassandra as part of its Feedzai Fraud Prevention That Learns™ software to ensure it can easily scale with the growing amount of data it analyzes for its financial industry customer base.

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real-time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online, in-store, or from mobile devices. The software analyzes big data in real-time to create deep learning profiles for each customer, merchant, product, location or POS device with up to a three-year history of data behind it. This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience.

Cassandra lets our software keep, access and update hyper-detailed behavioral profiles of millions of customers, devices, products – about anything our clients need – in order to make payment authorization decisions,” said Paulo Marques, Chief Technical Officer of Feedzai. “With Cassandra our core engine can process all of these detailed metrics, keep up with our clients’ growth and horizontally scale without a slowdown in performance.”

DataStax delivers Apache Cassandra, an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple data centers, with asynchronous masterless replication allowing low latency operations for all clients.


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