phishing

In the digital age, the significant increase in information generation and processing is accompanied by a growing threat of unauthorized access, illegal distribution, and use. One of the most promising strategies for protecting information from various cyber threats and malicious attacks is the use of Natural Language Processing (NLP) processors. This article focuses on the methodology of data protection in the context of utilizing Natural Language Processing for sentiment analysis and trend detection.

The article, based on a theoretical and practical study of the essence and features of the regulation of information and legal relations in the conditions of russian aggression, focuses on the problematic issues of organizational and legal provision of information security as an activity aimed at the prevention, timely detection and termination of threats that destructively affect vital interests of the individual, society and the state in the information sphere.