This solution also covers event monitoring, with the more diffuse scope of identifying fraud & integrity risk scenario’s or ‘methods of operation’. This requires more complex and a variety of monitoring routines. We have included the work flow and case definitions to provide for specific follow-up of fraud alerts and for fraud investigations, including the commissioning of the relevant risk remediation measures to the appropriate authorities. Robotics and machine learning are more difficult to apply, as fraudster tend to cover their tracks, which leads to corrupted data. Machine learning has a problem in dealing with this kind of data.
Features and processes included are: