Real Time Transactional Platform monitors, evaluates, and identifies any suspicious or high risk behavior based upon comprehensive rule sets. The EDI Detect/Transaction Monitor is based upon a patented high performance and scalable ‘data streaming’ architecture which can be implemented on a single production server. The transactions can be processed real time or batched; capable of processing up to 1,000,000 messages per second. The intuitive easy to use, menu-driven interface allows analysts to change existing rule models or create new rule models depending upon ongoing fraud or compliance requirements.  The EDI Detect/Transaction Monitor can fully integrate with the EDI Detect/Case Management.

      • Web-enabled menu driven user interface to manage rules
      • Authorization of features and data access based on user
      • Business rules can be created or modified using menu-driven GUI .
      • Create or modify scenarios with a full audit trail of changes
      • Modify the thresholds used to identify scenario model matches
      • Modify the strategies and parameters used to create alerts
      • View summary statistics of alerts generated

 

Best Practice Models – EDI provides pre-defined transactional rule models based upon expertise of leading experts, lawyers and consulting organizations for Fraud and Anti- Money Laundering. Best Practice Rule sets are available for the following industries:  Stored Value Cards, Bank, Broker/Dealers, Insurance, Mutual Funds, Hedge Funds, MSB’s and also include Risk Mitigation. See also EDI Detect/Best Practices.

The Detection Models monitor activity, detect patterns and trigger Alerts which are posted in real time to the EDI Detect/Case Management Application.

           
Integration and Analysis – The EDI Detect/Transaction Monitor can integrate with existing legacy systems and data feeds utilizing the API subroutines.

EDI Detect Platform Enterprise Features

  • 10K-1M messages/second
  • 64-bit addressing
  • Multi-threaded with real-time scheduling
  • Supports clusters & blade configurations via app and data partitioning
  • High Availability (tandem-style)

 

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