AI Goes Dark Side: Russian Banks Record New Cyber Threats

Neural networks help fraudsters prepare phishing, fake voices, and bypass checks

In 2026, Russian banks began to more frequently record cyberattacks using artificial intelligence. This was reported by representatives of major cybersecurity companies and financial market participants themselves.

According to the cyber threat monitoring center of Spikatel, from January to April 2026, the number of attacks on the financial sector increased by 28% compared to the same period last year. In approximately 16% of cases, attackers used AI tools. The growth of such incidents was also confirmed by F6 and Kaspersky Lab.

F6 notes that the situation has changed significantly over the year. While in 2025, specialists mainly saw isolated cases of attack automation using AI, now such attempts are recorded daily. According to Dmitry Ermakov, head of fraud protection at F6, AI has already become part of the regular arsenal of attackers.

Banks also say that attacks have become more complex. Sergey Zorin, Deputy Chairman of the Board of Tsifra Bank, noted that in 2026, such incidents cannot yet be called widespread, but they have become "more elegant" and harder to detect. A similar dynamic was observed at Alfa-Bank. Sber and T-Bank also record an increase in the frequency of cyberattacks using AI.

Experts link the trend to the fact that neural networks simplify the preparation of phishing messages, voice impersonation, automation of deception scenarios, and bypassing some standard protection mechanisms for attackers. For banks, this means that traditional anti-fraud systems must adapt more quickly to new types of attacks where humans and algorithms now act in conjunction.

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