Behavioral fraud detection using new HP ArcSight ESM correlation features
Speakers: Rob Block, HP and Suranjan Pramanik, HP
A common technique financial institutions use in detecting fraudulent transactions is to determine when a customer's online activity deviates from measured historical behavior. HP ArcSight ESM 5.2 contains a number of new correlation features designed to enable this type of analysis. Attend this session and see how to build a real-time fraud solution using ESM’s new time-partitioned active lists, lightweight rules, “parsetimestamp” variables, cumulative list fields, and interval active list trends.