CURRENT TRENDS IN THE USE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY

Abstract

The presented study is one of the steps in understanding and optimizing security systems that use AI to counter unforeseen cyber threats and ensure security against information leakage in the enterprise. Modern security methods in the context of data leakage prevention are analyzed, and the relevance of using artificial intelligence in this process is also considered. The advantages of using AI for information protection are investigated. The study emphasizes that the effectiveness of a data leakage prevention system largely depends on the quality and volume of information collected from such basic data sources as system log files, network traffic, and user action histories. Three main approaches were used to conduct the study: SVM, CNN, LSTM and their combinations, and their effectiveness was tested.