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10 Fraud Predictions for 2022 from Mary Ann Miller and Frank McKenna

By the looks of it, 2022 is, unfortunately, going to be another banner year for fraudsters

January 11, 2022
Mary Ann Miller
Learn More about the author: 10 Fraud Predictions for 2022 from Mary Ann Miller and Frank McKenna
Fraud & Cybercrime Executive Advisor and VP of Client Experience at Prove
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By the looks of it, 2022 is, unfortunately, going to be another banner year for fraudsters. In a recent FrankonFraud article, I joined Frank McKenna to make 10 fraud predictions for the new year ranging from how the rise of buy now pay later (BNPL) options is accelerating a spike in trojan horse schemes to why inflation and supply-chain shortages will help fraudsters steal hundreds of thousands of dollars a day. Fortunately, it’s not all doom and gloom. I also offered some much-needed hope for all of the fraud fighters out there: “As fraud fighters, we’re lucky. We get to do jobs that help our companies, but we also get to help the world. I think it’s those dual roles that make our profession unique but also one that draws us all together. When work gets hard, just remember who you are really fighting for – the victims. That will drive you to always work harder. I know it does for me.”


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Mary Ann Miller
Fraud & Cybercrime Executive Advisor and VP of Client Experience at Prove

Mary Ann Miller is the Fraud & Cybercrime Executive Advisor and VP of Client Experience at Prove. Mary Ann is a well-respected expert in the fraud and identity space who has been quoted by Sky News, TechCrunch, American Banker, USA Today, and others. Mary Ann was most recently Head of Fraud Strategy at Varo Bank, where she led the fraud strategy process for transitioning the fintech to a nationally chartered challenger bank. Prior to that, Mary Ann's held directorships and executive roles at well-known organizations such as USAA, PayPal, Lloyd's Banking Group, and other technology firms. She has also served on the US Federal Reserve Secure Payments Task Force and is a current member of the Federal Reserve’s Scams Definition and Classification Work Group.

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