Digital Fraud Tracker® – September 2019

Chase On Using Machine Learning To Crack Fraud’s Goldilocks Conundrum

Digital Fraud Tracker® – September 2019

In the latest “Digital Fraud Tracker,” done in collaboration with DataVisor, PYMNTS highlights the fraud trends and patterns that regulators are closely monitoring, as well as the solutions — including artificial intelligence (AI) and machine learning (ML) — that are being deployed to shift the anti-fraud effort from defense to offense.

Inside the September Tracker

  • Andrew Sloper, head of digital identity and authentication at Chase, explains how machine learning tools are being used by the bank to develop a layered and preventative approach to fighting fraud
  • The latest fraud headlines, including the Federal Trade Commission’s warning to consumers about romance scam activities
  • A Deep Dive highlighting the pros and cons of using unsupervised machine learning for anti-fraud efforts

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