Fraud Prevention

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

The word “fraud” is a deceptively simple term covering a growing variety of sophisticated crimes, including identity fraud, account takeovers (ATOs) and so-called friendly fraud. The pandemic-driven shift to digital channels gave rise to a sizable increase in fraud beginning in 2020, and this trend...

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

The pandemic’s social and digital disruption has exposed organizations to increased risks of becoming victims of cybercrime. Many businesses had to transition employees to working from home quickly, and this trend may become a long-term reality for a significant share of the workforce. Before the...

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

The growth in buy now, pay later’s (BNPL) popularity has made fraud prevention an increasingly important subject for both providers and the merchants that offer it. Twenty-five percent of U.S. merchants already accept BNPL payments, and 46% expect to implement it as an option within...

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

In a world where consumers expect everything on demand, the popularity of buy now, pay later (BNPL) has surged for its instant spending power. In fact, BNPL is expected to account for 4.5% of all eCommerce payments in the United States by 2024. Fraudsters naturally...

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. Here’s what our research turned up.  1)...

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

The pandemic transformed how holiday shoppers secured items in 2020, and researchers expect these trends to continue during this year’s holiday season. PYMNTS’ findings show that 87% of United States consumers plan to do at least some of their holiday shopping online, 13% more than...

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

Restrictions and health concerns during the pandemic helped consumers discover the many conveniences of digital transactions, but the upsurge in online profiles also led to an increase in fraud. The threat of cybercriminal activity grew worldwide, and 47% of companies reported experiencing the impact of...

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

In a recent study, more than 80% of Americans reported going online every day to conduct routine activities, such as grocery shopping and bill payments or to visit social media sites, and 28% said they do so constantly. With greater internet usage, consumers are becoming...