Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Use of Machine Learning Algorithms in Protection Tools of Automated Systems P.I. KARASEV, A.S. NICKISHOV, AHMED ADNAN LATEEF, SHAMSULDIN HAIDAR ABDULVAHHAB This paper 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 confi rmation 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 means of protection, the 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 of the implementation of artificial intelligence algorithms are proposed, which allow solving the problems of information protection within each separate subsystem of the automated system protection. In conclusion, the prospects of using artifi cial intelligence algorithms in the protection of automated systems are evaluated. Keywords: machine learning, artificial intelligence, secure automated system, clustering, anomaly detection, analysis, keyboard handwriting, access control. DOI: 10.25791/pribor.3.2023.1393 Pp. 21-29.