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The use of modern technologies in cybercrime poses new challenges for the expert community. In particular, the rapid development of tools for generating synthetic audio, video, and text content (including deepfake technology) necessitates updating the scientific, methodological, hardware, and technical support for the examinations required to analyze such objects (phonoscopic, video technical, authorship examinations). Since 2019, the Forensic Science Center of the Ministry of Internal Affairs of Russia has been working in these areas. This article provides an overview of the measures taken and their results, and identifies current priorities. These include testing software designed to detect digital counterfeits, developing methodological approaches to using the obtained data in forming expert conclusions, and creating an interdepartmental expert methodology for the forensic examination of generated speech.
forensic analysis, deepfake, generated objects, neural networks, detec tor, forensic analysis methodology
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