The fully automated platform will classify and depersonalize customer data, as well as banking and commercial information.

Based on Open-Source Solutions such as Extract, Transform, Load (ETL), User Interface (UI), and ML, the platform allows users to perform an automated search for attributes that contain personal data and depersonalize them, with the accuracy of data classification being more than 96%. Following implementation, the labor costs of depersonalizing data were reduced by more than 50 times, and the speed of searching for critical data increased by 10 times.

This allows the bank to create an even more secure environment for development and testing in the shortest possible time to bring the bank’s products and services to market.

Vadim Kulik, Deputy President and Chairman of the Management Board of VTB Bank, said:

"This solution is unique. There are no ready-made boxed industrial solutions for the classification of customers’ personal data on the Russian market. VTB specialists analyzed vendor solutions and found that none allowed customers to fully automate the full cycle of creating a secure environment for development and testing. With remote work becoming more frequent during the pandemic, this project has allowed us to create a completely secure environment, strengthen protection against leaks and unauthorized access to our customers’ personal data, and minimize the reputational risks associated with protecting VTB’s banking and commercial data.”

As part of its strategic development, VTB is implementing a large-scale digital transformation program between 2019 and 2022, during which IT infrastructure has been completely rebuild. The model of work for creating the bank’s technology products has changed, and technology platforms have been created which, among other things, are the basis for the development of the bank’s open ecosystem.

For 18 months, VTB has completed more than half of its planned digital transformation work. In particular, 14 separate programs were launched which directly or indirectly reduced the time to market for products and services by 8 times. The bank estimates the financial impact of the digital transformation program at the end of 2020 was $150mn (11 billion roubles), which is twice the amount VTB previously forecast.