Feedzai & Azul Systems Joint Customer Win Revealed | GBAF

Feedzai & Azul Systems Joint Customer Win Revealed | GBAF

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Home > Top Stories > FEEDZAI AND AZUL SYSTEMS DEPLOY REAL-TIME FRAUD DETECTION SOLUTION AT GLOBAL LEADER IN PAYMENT TECHNOLOGY

FEEDZAI AND AZUL SYSTEMS DEPLOY REAL-TIME FRAUD DETECTION SOLUTION AT GLOBAL LEADER IN PAYMENT TECHNOLOGY

Published by Gbaf News

Posted on June 27, 2015

2 min read

Last updated: January 22, 2026

Visual representation of real-time fraud detection technology in payment systems - Global Banking & Finance Review — An illustration depicting the integration of Feedzai and Azul Systems' technologies for real-time fraud detection in payment systems, showcasing their impact on financial security and transaction efficiency.

Feedzai and Azul Systems announced first joint customer win with leading payment technology solutions provider
Integrated solution provides the payment and ecommerce sectors with ultra-fast real-time fraud detection processing

Feedzai, a big data science company that uses real-time, machine based learning to prevent fraud, and Azul Systems, the award-winning leader in Java runtime solutions announced their first joint customer win in the financial services sector following their recent commercial engagement.

The solution deployed at one of the world’s leading providers of payment technologies 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 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 NunoSebastiao, 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.”