Detect and Address Social Fraud

Challenge – 

Social security systems depend on solidarity, but a growing issue threatens their integrity: social fraud. This occurs when rules are ignored, undermining fair competition and workers’ rights.

Are social contributions being paid correctly? Are employees treated fairly? These pressing questions highlight the need for stronger measures to detect and address fraudulent practices, ensuring fairness and compliance within the system.

Solution

Algorhythm Group used graph technology and constructed a robust graph database that precisely represented the web of relationships among key players in the social security system.

In this graph, every node was a distinct entity, ranging from individuals and companies, place of work, … The edges in the graph denoted connections, transactions, or interactions between these entities.

We then employed advanced network analysis. We leveraged specialized graph algorithms to analyse the connections and interactions within the social security ecosystem.

At the same time we followed the necessary guidelines to ensure reliable, efficient and good model building practices.

Impact

Our solution helped to identify clusters of entities with irregular relationships, as these are often signalled as potential instances of fraud or abuse. This analytical approach allowed the inspectors to take better action and decision on the field.

The result is a more robust and responsive system for saving the integrity of the social security program.