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A San Francisco startup, which analyzes and scores all publicly reported U.S. data breaches, is aiming to take the fear and guesswork out of breach outcomes for credit unions and their members.
Fraud prevention and detection technology firm Breach Clarity developed a machine learning platform for finserv providers to enable highly targeted protections for customers. The patent-pending algorithm, developed by Jim Van Dyke, co-founder and CEO of Breach Clarity, analyzes 1,188 data points to assess the specific risks stemming from a breach.
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Roy Urrico
Roy W. Urrico specializes in articles about financial technology and services for Credit Union Times, as well as ghostwriting, copywriting, and case studies. Also: writer/editor of a semi-annual newsletter for Association for Financial Technology since 1997 and history projects funded by the U.S Interior Department, National Park Service and Warren County (N.Y.).
