Iguazio Deployed by Payoneer to Prevent Fraud with Real-time Machine Learning
Summary
Payoneer overcomes the challenge of detecting fraud within complex networks with sophisticated algorithms tracking multiple parameters, including account creation times and name changes. “We’ve tackled one of our most elusive challenges with real-time predictive models, making fraud attacks almost impossible on Payoneer” noted Yaron Weiss, VP Corporate Security and Global IT Operations (CISO) at Payoneer. “We’re glad to see Payoneer accelerating its ability to develop new machine learning based services, increasing the impact of data science on the business.” “Payoneer and Iguazio are a great example of technology innovation applied in real-world use-cases and addressing real market gaps” said Hugo Georlette, CEO, Belocal. Designed to provide a simple cloud experience deployed anywhere, it includes a low latency serverless framework, a real-time multi-model data engine and a modern Python eco-system running over Kubernetes. Enterprises spanning a wide range of verticals, including financial services, manufacturing, telecoms and gaming, use Iguazio to create business impact through a multitude of real-time use cases.
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