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Comparative analysis reveals traits of cybercriminals under 35 years old, suggesting proactive AI integration is needed.
The study focuses on criminological and psychological characteristics shaping the portrait of a cybercriminal in the context of digital transformation. The aim is to identify universal and nationally specific traits of offenders in cyberspace through comparative analysis of Russian and international experience. Relevance stems from the exponential growth of cybercrime (up to 25% annually according to Russian MVD data) and its transnational nature. It is established that 68% of cybercriminals are individuals under 35 with advanced technical skills but reduced socio-ethical competencies. The conclusions emphasize the need for proactive criminological models integrating artificial intelligence for behavioral forecasting.
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Akvit et al. (2025) studied this question.
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