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:

About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.