Download our case study to find out more about how ThetaRay provided immediate ROI for a European retail bank, as well as reducing the number of alerts by over 50%.
Our client suspected that spy malware took over their customers’ devices, creating fictitious transactions. Incumbent legacy systems were unable to detect the criminal activity and were overwhelming analysts with thousands of false positive alerts.
Legacy rule based systems that banks have relied upon for over 40 years, are no longer sufficient. ThetaRay co-founder, Yale’s Professor Coifman explains more to The Hill.
Interoperable technologies can also help banks detect cyberattacks that use sophisticated, seemingly random patterns, explains Mark Gazit, ThetaRay CEO.
Talk to our team about AI for fraud detection, and discover how you can outpace fraudsters using AI and machine learning technologies!