The Feedzai Blog

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Looking Ahead: Consumer & Bank Evolution by 2025

Bank leaders know that banking next year will look different than banking today. But banking seven years in the future is a downright alarming thought. Still, while it’s tough to maintain a strategic outlook when rapid changes are happening right now, it’s important to remain

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How Machine Learning for Credit Unions Can Power Growth While Minimizing Risk

For credit unions, 2018 has been a big year for expansion and innovation, which also makes it a big year for facing the new threats that are sure to follow. The financial space is evolving, and credit unions must evolve too. So, how does a credit union like yours scale smart? It starts by looking at the macro trends that are currently impacting customers, and discovering ways to leverage these trends for long-term growth.

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How Retail Banks Can Fight Account Opening Fraud with AI

Banks are seeking new ways to improve revenue, reduce risk, and create a stronger customer experience. But these efforts open up new attack vectors for today’s determine fraudsters, who are evolving faster than the detection strategies designed to stop them. Many banks are finding that their traditional approaches to fraud management are falling short—and leaving them exposed to risk.

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How Merchants Can Rapidly Confront the Account Takeover Crisis

This is Part I of a series that examines the Account Takeover (ATO) crisis at both banks and merchants. First up: the impact that ATO is having on merchants.

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The “Choose Your Own Adventure” of Machine Learning Implementation for Fraud

Financial institutions are sorting through the generalized hype over machine learning and making real decisions about how to operationalize it. What many don’t realize is that machine learning procurement is not “one size fits all,” but rather “choose your own adventure.”

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A New Timescale for Fraud-Fighting Data Science, With Feedzai AutoML

At a time when data scientists are more critical to banks than ever – and more scarce – Feedzai AutoML is augmenting fraud-fighting data science teams by combining two things for the first time: automatic machine learning, and a platform purpose-built to fight fraud.

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How Banks Can Walk the Line Between Digital Transformation and Risk

As digital transformation sweeps through all areas of peoples’ lives, smart banks are recognizing that they too must transform or be left disastrously behind. But change, however critical, must always be balanced against its inherent risk. What does it mean to manage risk while functioning as a true digital bank? 

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Acquirers’ Top 3 Challenges in a Changing Commerce Landscape

Acquirers are experiencing pressure on all sides. Evolving competition, declining profits, and increased incidence of fraud all challenge the established business models that acquirers have lived by. Among these pressures, acquirers face three particularly urgent challenges that will need to be addressed.

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