Assessing the impact of risks on the security of Artificial Intelligence systems
https://doi.org/10.21822/2073-6185-2026-53-1-108-115
Abstract
Objective. The purpose of the study is to assess the impact of risks on the security of artificial intelligence (AI) systems. The new methodology takes into account the existing scientific and practical basis in the field of risk management, IT-security and standards in the AI fields.
Method. This paper presents a methodology for assessing the impact of information security risks on AI system security processes, based on established and new analytical methods for studying software security (ISO, IEC, and GOST standards).
Result. A mathematical description of the information security risk assessment is formulated to ensure a given level of security for the AI system under consideration as a functional subsystem within the constraints of the final complete software system (CII). The results of applying the proposed approach to assessing information security risks for AI systems based on international ISO/IEC standards are presented.
Conclusion. The potential for implementing this methodology lies in ensuring the objectivity, accuracy, and completeness of quantitative information security risk assessments, which enables informed decision-making on ensuring the security of AI systems. The results can be applied by experts in the design, compliance assessment, and optimization of AI systems within critical information infrastructure (CII) systems to ensure information security.
About the Author
I. I. Livshits
I.I. National Research University ITMO
Russian Federation
Russian Federation
Ilya I. Livshits, Dr. Sci. (Eng.), Prof. of Practice,
49 Kronverksky Ave., St. Petersburg 197101
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Review
For citations:
Livshits I.I. Assessing the impact of risks on the security of Artificial Intelligence systems. Herald of Dagestan State Technical University. Technical Sciences. 2026;53(1):108-115. (In Russ.) https://doi.org/10.21822/2073-6185-2026-53-1-108-115
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