Need for Next Generation Fraud Detection is Huge: Applying Purpose-Built Analytics to Spotlight Fraud in Real Time

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Published: 19 Aug 2016

This report discusses how some types of fraud have grown more sophisticated. It also explains how the escalating number of advanced methods used by would-be perpetrators¯to gain ill-gotten revenue and/or to create mayhem for the organizations they target¯is capturing CSP attention. The report further explains how new generation fraud management tools, using big data concepts tied to data collection from data lakes and real-time machine learning analysis, are becoming a more effective means for identifying communications fraud. Through the machine-learning approach, initiated by companies such as Argyle Data, advanced forms of communications fraud can be identified faster, and new forms of fraud can be discovered more easily.

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