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

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:

  • An exclusive interview with Joseph Sieczkowski, Head of Technology Architecture and Data at The Bank of New York Mellon Corp (BNY Mellon).
  • Insight from DataVisor CEO Yinglian Xie on applying AI to defeat account takeover fraud (ATO).
  • A deep dive into how one industry is beating back ATO attacks at rates of nearly 80k per month.

Download the resource:

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