Sift Science Briefing Note

Document ID: CGBN111 | Last Updated: Apr. 2, 2018

Abstract
Criminals find new and better ways to fool and defraud organizations, and businesses must adopt systems that are increasingly more sophisticated and complex. AI systems are able to differentiate between good and bad behavior, and can act to mitigate problems without having to play constant catch up. These AI systems learn the behaviors of troublemakers so that those tasked with preventing harm can quickly identify and eliminate problems before they happen. The Sift Science Digital Trust Platform protects online businesses from a wide range of vectors of fraud and abuse and also fuels their growth by rewarding their best customers and users. The company’s solution is made up of a suite of purpose-built offerings powered by live machine learning that combines custom modeling and a global network of fraud learnings for a high level of real-time accuracy.
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Sift Science Briefing Note [CGBN111] 243.78 KB

Criminals find new and better ways to fool and defraud organizations, and businesses...