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Screenshot of a breaking news alert e-mail from Q2 2017
Feedzai, a big data science company that uses real-time, machine based learning to prevent fraud, and Californian software firm Azul Systems which provides Java runtime solutions today announced their first joint customer win in the financial services sector following their recent commercial engagement.
The solution combines Zing®, Azul’s Java Virtual Machine (JVM) designed for systems that require consistent low latency and high scalability, and Feedzai’s Fraud Prevention That Learns™ software.
When integrated, the two technologies provide the customer with a fraud prevention solution for omnichannel commerce with ultra-fast processing of big data and dramatic reductions in transactional latencies.
Feedzai’s Fraud Prevention That Learns software 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 financial transactions, in person, online or from mobile devices.
Azul Zing provides consistent low-latency with high throughput and supports large in-memory datasets without performance penalties. It eliminates the operational interruptions and response time outliers often experienced by Java-based trading, risk and compliance applications in financial markets.
“The global financial marketplace is evolving at a rapid pace and institutions are focusing investment on technologies which provide immediate commercial advantage,” said Scott Sellers, CEO and President of Azul Systems. “Zing is a great fit for ecommerce and payment technology providers running high volume, mission critical systems – it is the only JVM designed to deliver high sustained throughput combined with consistent low latency.”
“Ultra low latencies are of paramount importance to many of our customers, which is almost impossible to achieve if you use a standard JVM,” said Nuno Sebastiao, Chief Executive Officer of Feedzai. “Fraud Prevention That Learns combined with Azul Zing can handle peak load demands of up to 50,000 transactions per second, which guarantees that we can deliver the best that artificially intelligent machines can offer.”