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Fraud
Banks are expected to offer a seamless customer experience while also stopping fraud in its tracks. Learn how banks can balance these goals and manage risk effectively in the digital banking era.
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Covid-19
The global coronavirus pandemic caused widespread disruption to numerous industries. Learn how machine learning technology helps organizations adjust to unpredictable conditions and stay vigilant against fraud.
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AML
Criminals launder money to disguise their illegal activities and make their funds look legitimate. Learn how banks and regulators can stay ahead of the latest anti-money laundering (AML) trends.
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4 Reasons Why Fraud is the Best Machine Learning Use Case
Feedzai CEO Nuno Sebastiao joins Citi Talks Payments to discuss how machine learning can help build a more responsible digital society.
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What is Online Fraud Detection and Prevention?
Fraudsters are eager to exploit the digital pathways consumers use to connect to their banks. Online fraud detection and prevention solutions work by rapidly…
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5 Misconceptions About Machine Learning Platforms for Risk
Learn five of the most common machine learning misconceptions that banks should consider before they build their own platform.
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Financial Crime Report Q4 2020: AI Revelations on Fraud & Commerce
Feedzai’s Financial Crime Report Q4 2020 outlines major fraud trends and changes to consumer behavior based on data from 4 billion global transactions.
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Financial Crime and the US Presidential Election
As the U.S. presidential election campaign draws to a close, here are tips for navigating 10 key financial crime issues that may require different approaches…
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Here’s How FRAML Can Work For Your Financial Institution
FRAML aligns internal fraud detection and anti-money laundering (AML) operations with the goal of fighting financial crime together. FRAML automates data…
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