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