MTS Bank has introduced graph neural networks for the first time in Russia to detect hidden attacks on the company's internal infrastructure. According to the bank, an ensemble of five models is being used, capable of identifying over 90% of scenarios in which attackers move within the networks.
The development of this technology is intended to help combat cyber attacks more effectively. MTS Bank emphasizes that this represents an innovative measure to enhance the security of the bank's infrastructure.
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