Dynamic Behavior Patterns is the name of a new software designed and created by Costa Ricans to increase the security of national and international financial companies in the protection of their clients’ resources.
The software breaks traditional schemes and seeks to avoid previous fraudulent transactions and the search of known cases of fraud through expert systems.
Pablo Elizondo was the promoter of the initiative and shared that the challenge was to create a software that could identify possible fraud when the system had no information related to that event or it was not similar to any other event.
Therefore, he devised a system that analyzes data but from the perspective of customer behavior. The historical transactions of the clients are analyzed, a behavioral learning process is generated. The system learns about the client, their tastes and preferences, the places where they make purchases, the time they visits stores, the amounts usually spent, and subsequently in the fraud detection process, the information of new transactions is received and compared to detect unusual behavior.
Customers of banks and ATMs, telephone operators, and cardholders will benefit most from this new technology. The project was developed with the support of Fondo Propyme and it’s unique in the world.
For Sander Pacheco, Vice Minister of Science and Technology of the Ministry of Science and Technology and Telecommunications (MICITT), these initiatives will improve the ability to react to incidents in the country and beyond the borders.