TECHNOLOGY

The combined use of best-in-class technologies, constant attention to the sector (e.g. UIF reports) and the customisation of discovery models through big data analytics allow our projects to provide solutions that:

• Combine statistical models and “traditional” scenario-based discovery rules
• Provide a unified view of the client during the investigation phase, aggregating data of different nature and origin (internal sources, open sources) etc., into a single archive
• Analyse the risk in the light of relationships and dynamics of the network to which it belongs (Social Network Analysis)
• Automatically identify and report suspicious high-risk relationships, favouring the convergence between the various areas of anti-fraud (e.g. Payments vs. Customer acquisition)
• Reduce investigation time and the volume of false positives, increasing the effectiveness of our customers’ anti-fraud analysts.