Methods and tools for managing vulnerabilities of corporate information system based on machine learning

Abstract

The article highlights the general concepts of IT infrastructure, corporate information system, cyberattacks and cyberattack statistics. Vulnerability management is also described as a process of harm reduction from the implementation of threats, what problems are faced by information security professionals and ways to solve them. The possibility of using artificial intelligence in the field of information security, advantages, disadvantages, problems are considered. A hypothetical solution is proposed by developing methods and tools for managing vulnerabilities in corporate information systems using machine learning technologies.