Open AccessMethods and tools for managing vulnerabilities of corporate information system based on machine learning
Author(s) -
G. G. Nayman,
AUTHOR_ID,
D. M. Garkavenko
Publication year - 2021
Publication title -
sučasnij zahist ìnformacìï
Language(s) - English
Resource type - Journals
ISSN - 2409-7292
DOI - 10.31673/2409-7292.2021.032428
Subject(s) - vulnerability (computing) , computer science , information security , computer security , harm , field (mathematics) , process (computing) , knowledge management , information system , risk analysis (engineering) , vulnerability assessment , information security management , security information and event management , business , engineering , cloud computing security , cloud computing , mathematics , electrical engineering , political science , pure mathematics , law , operating system , psychology , psychological resilience , psychotherapist
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.