Distinguishing a standard transaction from a possible fraud is one of the main prerogatives for the financial world.
Doing it in real time by crossing millions of data and events from different channels/systems is very complex.
We won the challenge by defining an integration platform with very high performance capable of immediately identifying possible frauds through pre-configured rules and a self-learning mode.
The solution has allowed our client a cost saving of 43% compared to the previous year, with the aim of reaching 68% next year.
