Method and system for fraud clustering by content and biometrics analysis

A computerized-system for proactive fraudster exposure in a customer service center according to content analysis and voice biometrics analysis of a call interaction, the computerized-system comprising:

• a database of recorded calls;
• an interactions database;
• a clusters database;
• a watchlist database;
• a memory to store the database of recorded calls, the interactions database, the clusters database and the watchlist database;
• a display unit;
• and
• a processor, said processor is configured to:
• (a) collect call interactions from the database of recorded calls in a customer service channel,
• wherein the collecting is based on predefined rules by a calls collection engine,
• (b) store the collected call interactions in the interactions database;
• (c) perform a first type analysis to cluster the call interactions in the interactions database into first type ranked clusters and to store the first type ranked clusters in the clusters database;
• (d) perform a second type analysis on a predefined amount of highest ranked clusters, into second type ranked clusters and to store the second type ranked clusters in the clusters database;
• wherein the first type analysis is a content analysis of a call interaction and the second type analysis is a voice biometrics analysis of the call interaction, or vice versa,
• retrieve from the second type ranked clusters in the clusters database, a list of potential fraudsters;
• transmit the list of potential fraudsters to an application to display to a user said list of potential fraudsters via a display unit, thus, to enable said user to review said list of potential fraudsters and to add fraudsters from the list to the watchlist database.