However, according to Anna Kulashova

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At the same time, the AI ​​systems themselves, as Evgeny Kunin stated, also need protection. At the same time, in his opinion, models are no less valuable an asset than data, especially for industries such as retail and the financial sector, where developing a more effective model for scoring or processing user experience is a tangible competitive advantage.

Alexey Drozd, Head of the Information Security Department at SearchInform LLC, noted that AI is actively used by cybercriminals. However, in his opinion, the confrontation hong kong whatsapp resource between defensive AI and attacker should be expected in another year or two. According to Alexey Drozd, AI in information security systems is currently used mostly to automate routine work with systems for monitoring and correlating events (SIEM) and information security monitoring centers (SOC). However, in his opinion, UBA (user and entity behavioral analysis) systems are promising, the principle of which is to identify deviations from the norm.

, without the use of AI it is no longer possible to solve a whole range of problems, in particular those related to the analysis of malicious applications, the number of which is growing by 400 thousand per day.

According to Andrey Timoshenko, the scope of application for AI in information security is already measured in dozens of areas, and the annual growth rates are double-digit numbers. In his opinion, the main effect of the introduction of AI is a decrease in the response to incidents, primarily by SOC employees. Such projects, as Andrey Timoshenko stated, are already being implemented, and on a massive scale. Also, machine learning, in his opinion, is widely used in solving network security problems and protecting against fraud, fraud and various types of abuse.

As stated by the Director of the Trust and Security Department of Avito Andrey Rybintsev, it is impossible to imagine modern antifraud systems without AI, especially when it comes to C2C services with a large number of users, such as Avito. AI, according to him, helps to moderate ads, identify bots, fake accounts, phishing.

Avito's example is not isolated. For example, updating the fraud protection mechanisms allowed Yandex clients to save 240 billion rubles in advertising budgets for the first half of the year, which is five times more than in January-June 2022. "Our algorithms are trained, among other things, on conversion data that we receive from businesses. Thus, through joint efforts, we are solving one of the most pressing problems in the advertising market - the problem of growing fraudulent traffic," Yandex Deputy Commercial Director for Quality Alexey Goncharov commented on the result of the service update.