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Whether you are a bank, acquirer, merchant or any player in the commerce value chain, Feedzai is all you need to manage your entire payment risk. Online or offline, card or non-card, Feedzai offers an Any Data. Any Payment.™ risk engine that helps prevent fraud using machine learning.

Unblock Payment and Keep Commerce Moving


Combating Account Opening Fraud using Machine Learning

Watch the Webinar

Watch Aite’s Julie Conroy and Feedzai’s Phong Q.Rock discuss how FIs can apply advanced analytics to the vast amount data at their disposal and turn it into intelligence,which can help to not only reduce fraud,but also remove friction.

Why orchestration of authentication is antidote to account takeover fraud?

Choosing a Machine Learning Platform for Risk(Banking)

Get the Ebook

A Guide for Banks and Payment Processors

Download this report to peek into the future of fraud.Learn more about:
1)Explainable Whitebox AI
2)Precise segment-of-one profiling
3)Future-proof data ingestion and
4)Better enterprise fraud protection

digtial transformation

De-Risking Digital Transformation

Get the Ebook

A guide for banks that want to evolve while staying safe

Read our new ebook to understand:The customer behavior changes banks need to prepare for Key ways to leverage your data to derive maximum value The path towards digital transformation and how to manage risk along the way Ways to ensure your bank is ready for digital transformation ready

The Future is Feedzai

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We’ve built a powerful platform with foresight into next-generation fraud technology that gives real utility to data feeds that come from new and unexpected sources. Feedzai is looking at commerce transactions as an ecosystem model, and we’re disrupting the conventional thinking about risk and pioneering a new approach to risk management.

Ready to clean up your commerce stream?
Schedule a demo with us today.

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With the ground truth of actual chargebacks and other fraudulent behavior as the benchmark, a head-to-head comparison of Feedzai’s detection performance using past transaction logs can demonstrate the value of our machine learning approach.