Innovative approaches in criminalistics: methods and technologies for countering the spread of prohibited information in the digital age

The article examines modern innovative approaches in Criminalistics aimed at countering the spread of prohibited information in the digital space. The author analyzes Criminalistics methods, including the use of artificial intelligence, machine learning, big data analysis, and natural language processing for detecting, interpreting, and documenting digital traces. Special attention is given to algorithms for recognizing extremist, pornographic, and other destructive content, as well as techniques for identifying authors and accomplices involved in digital crimes. The study highlights issues related to anonymity, cross-border jurisdiction, and the lack of international coordination, as well as legal and ethical challenges. The article concludes by emphasizing the need for a comprehensive approach that combines technological, legal, and organizational measures within the framework of Criminalistics.