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Neural networks strengthen banks’ cybersecurity

Artificial intelligence (AI) is emerging as a key driver in the transformation of Russia’s banking sector, bolstering transaction security and enhancing the customer experience, notes Dmitry Sytsko, Chief Information Officer at BCS Bank.

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Banks are increasingly leveraging big data, machine learning, and neural networks for scoring, monitoring, personalization, and customer support. Modern anti-fraud systems use behavioral analytics to reduce fraud while preserving user convenience. Voice assistants and chatbots powered by generative AI provide client consultations and assist in product selection, while banks are also developing intelligent support systems for their employees.

However, full automation is neither possible nor desirable, the expert emphasizes. Tasks requiring professional judgment and accountability remain the domain of humans. The use of AI is already subject to regulation through the Code of Ethics and emerging liability standards. Most banks are following a hybrid service model, combining technology with human interaction: artificial intelligence handles routine operations, while specialists focus on analytics, monitoring, and service development.

“Customer trust in AI continues to grow, but the demand for human interaction remain – and this will shape the future direction of the industry,” says Dmitry Sytsko.

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