Artificial Intelligence Fintech News

VTB Applies AI Model to Clamp Down on Payment Card Fraud

VTB Applies AI Model to Clamp Down on Payment Card Fraud

VTB is implementing a new model based on AI to prevent fraudulent card transactions: a machine learning algorithm trained on more than 10,000 parameters detects 1.5 times more attempts by attackers to commit fraudulent transactions compared to previous operating systems.

The model, developed by VTB’s internal AI specialists, analyses the operation in a few milliseconds based on all available big data arrays and sends an additional notification to the client for confirmation when a potential danger is detected. If there is a pronounced danger, the operation will be suspended, and the client will receive a recommendation to contact the bank to clarify the situation.

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A new level of protection allows you to prevent fraudulent attempts in any channel of using the card: at an ATM, when paying in a store, paying online, and using VTB Online.

“The security of customer data and funds is a priority for VTB. The bank’s specialists are constantly improving technologies and introducing new degrees of protection against malicious actions. The use of big data and artificial intelligence technologies for anti-fraud allows us to bring customer protection to a new level: not only to identify a suspicious transaction at a certain moment, but also to identify the principles of organizing fraudulent attacks and the relationship between attackers.” said Vadim Kulik, Deputy President and Chairman of the VTB Management Board.

Earlier, VTB implemented a graph platform to combat fraud, a tool that uses artificial intelligence to prevent fraudulent activities. It analyzes and compares data on multiple fraudulent attacks, the links between them, and finds hidden dependencies. Other areas of application of the graph platform are the prevention of fraud in lending and the detection of suspicious transactions.

VTB has urged customers to remain vigilant as the bank reveals that about 90% of fraud attempts are based on social engineering methods, when attackers use deception and manipulation to obtain information from customers. VTB specialists note that the bank’s employees will never request card data (CVC2/CVV2)/accounts or one-time passwords. The Bank asks its customers not to disclose their data to fraudsters under any circumstances.

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