Abstract
This article discusses the concepts of machine learning, secure automated systems, as well as the main means of ensuring information security of automated systems. As part of the confirmation of the relevance of this article, an analysis of the pros and cons of the main information security subsystems is carried out. For some of the listed security tools, an analysis of the applicability of machine learning algorithms in them to ensure the information security of automated systems is carried out. Based on the analysis of the applicability of machine learning algorithms, specific concepts for the implementation of algorithms based on artificial intelligence are proposed, which allow solving information security problems within each separate subsystem of the automated system protection. In conclusion, the prospects of using artificial intelligence algorithms in the protection of automated systems are evaluated.