October 12, 2019
Design / Ideas


Cyber-attacks are taking more and more sophisticated forms, which allows them to act faster and pose a much greater threat for payment systems. Therefore, financial institutions need to adequately protect their customers and resources from criminals. It is a very complex problem as the new attack methods emerge everyday and get even more sophisticated. The protection has to always be one step ahead to ensure the safety as even the minor error could be utilized and cause unparallel losses.


A software system which detects and prevents frauds in bank transactions leveraging the smart and effective solutions including machine learning techniques, anomaly detection and behavioural profiling. They take into account monetary and non-monetary information in order to assess each payment basing on diverse types of data from multiple sources. Advanced AI methods help detect suspicious transactions in real time achieving higher accuracy and substantially improving the detection of actual frauds while reducing the number of false alarms.


Financial institutions benefit from significant development of cybersecurity through more accurate detection of all types of fraud. The solution provides strong support for traditional forms of payments crime detection, which results in preventing the loss of monetary resources and increased trust of financial institutions customers.

The members of our team had a significant share in planning and development of the final solution.