Fraud Prevention

Fraud Prevention
Why Context Is Key to Effectively Fighting Fraud
February 04, 2022

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Fraud Prevention
Managing Remote FinTech Risk: In Digital Payments We Trust, But Verify Continuously
January 18, 2022

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Fraud Prevention
Deep Dive: Why Preventing Fraud in Buy Now, Pay Later Transactions Requires Real-Time Solutions
January 17, 2022

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Fraud Prevention
Sezzle on Using AI, ML Tools to Remove Fraud From the BNPL Equation
January 14, 2022

Letting advanced algorithms to take the lead on security can keep fraud from derailing the BNPL experience. In the Digital Fraud Tracker, Sezzle CEO Charlie Youakim explains how BNPL providers can use artificial intelligence and machine learning to keep their platforms airtight without holding legitimate...

Fraud Prevention
Sezzle Takes Aim at BNPL Fraud With AI, Machine Learning
January 13, 2022

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Fraud Prevention
Fighting Fraudulent Transactions, By the Numbers
January 07, 2022

In the fall of 2021, PYMNTS, working with the Mastercard affiliate Brighertion, interviewed dozens of banking executives to determine how acquiring banks use artificial intelligence (AI) and effective merchant monitoring to combat credit, debit and prepaid card fraud. Get the Full Story Complete the form...

Fraud Prevention
Banks And Merchants Tap Behavioral Analytics, Deep Learning to Keep Holiday Fraud in Check
December 14, 2021

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Fraud Prevention
Deep Dive: How Organizations Can Use Behavioral Analytics to Reduce False Positives, Cyberattacks
November 18, 2021

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Fraud Prevention
Deep Dive: How Merchants Can Optimize Revenues and Security While Protecting Customers’ Data Privacy
November 10, 2021

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