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Tinkoff Bank Tests Neural Network for Customer Behavior Analysis Using Smartphone

Russia’s biggest neobank Tinkoff Bank uses a neural network to identify atypical customer interactions with their smartphone in search of any fraud activity.

The neural network will analyze a number of factors, including the angle at which the user holds the smartphone and the features of tactile interaction with the screen. In case of atypical actions or suspicious activity, the bank can block the operation in the mobile application.

Now the technology is being tested on Tinkoff Bank employees and, as the company says, does not use biometric and other personal data. For this reason, it is not required to obtain consent from the client to collect data, the Tinkoff Bank noted.

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