Application of Artificial Intelligence and Risk Indicators for Cybercrime Combating

The digital space is increasingly being used to commit numerous cybercrimes. The need to ensure cybersecurity and organize effective counteraction to cybercrime necessitate new approaches to identifying crimes in the digital space. The article discusses the features and classification of cybercrimes that are important for organizing the fight against cybercrime. Using methods of analysis and comparative law, the author explores the possibilities and risks of using artificial intelligence and big data technologies to identify signs of cybercrime. The definition of indicators of the risk of committing cybercrime is given, and the possibilities of their use in combating cybercrime are revealed. It is concluded that the most effective way to combat cybercrime is to use the man-machine scheme with the establishment of a system of adaptive risk indicators, the definition and methods of development of which must be normatively established.