Big Data , Events , Fraud

Real World Applications of Big Data Analytics - Social Network Analysis and Post Breach Fraud Detection
Real World Applications of Big Data Analytics - Social Network Analysis and Post Breach Fraud Detection

Big Data - everyone is talking about it, but what are organizations actually doing with it to detect and prevent fraud? Despite the hype, there are many powerful, targeted applications for the analysis of large amounts of gathered data. In this session, we will look at two focused use cases that are currently providing significant real-world value.

See Also: 2016 Enterprise Security Study - the Results

  • Social Network Analysis - see a leading-edge practitioner run review of how an analytics engine can be focused to detect in-person fraud by looking for anomalies in credit applications.
  • Post Breach Fraud Detection - see the latest methods of transaction analysis to detect fraud related to stolen identities and credit information.

Background

This session was recorded during the 2014 Fraud Summit Toronto. Additional recordings include:



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