Abstract: Law enforcement and judicial practice in Russia has faced a mass of previously non-existent types of fraud. New types of fraud appeared in the field of computer technology and the use of high technologies. Along with this, the development of economic sectors, the credit and financial system, commercial banks, the emergence of new information, banking technologies, technical means of communication have generated organized forms of online fraud. Primitive forms of fraud are being replaced by more sophisticated ones, new technologies are penetrating into our lives, so forms of fraud using chat gpt, that is, neural networks, have appeared. The above circumstances justify the relevance of the research topic. The subject of the study is various types of fraud in the field of computer information and the use of high technologies and the specifics of their commission. The novelty of the topic of the publication is due to the need for a thorough study of new organized forms of online fraud to prevent the commission of such crimes. For the first time, "modification" as a method of computer fraud, a neural network, as a way of committing fraud, was investigated. An attempt has been made to characterize an organized criminal group committing online fraud. Digital traces of organized forms of online fraud have been investigated. The purpose of this publication is to highlight the features of the commission of organized forms of online fraud. Their allocation will help to effectively solve such crimes. The article uses various methods: general dialectical, logical, analysis of regulatory regulation, formal legal, comparative legal. Conclusions: on the basis of theory and law enforcement practice, the key elements of organized forms of online fraud are identified, the key features of organized criminal groups that commit them are characterized, the role of neural networks in the commission of the crimes under consideration is established.