How BNY Mellon is Using AI and Data Science to Detect Fraud

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Fraud cost businesses a staggering $4.2 trillion globally in 2018, and Account Takeover (ATO) attacks against financial services providers were a big percentage of that. The new Digital Fraud Tracker from PYMNTS and DataVisor shows how BNY Mellon is using unsupervised learning technologies to give its analysts the tools they need to effectively fight cybercrime.

Inside the Digital Fraud Tracker:

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