Abstract:

The aim of the article is to examine the application of artificial intelligence (AI) in the risk and reliability management of IT systems in the context of the DevSecOps approach. This article examines how AI can improve threat detection, risk management, and the reliability of IT systems. The novelty of the article lies in the integration of AI with the DevSecOps approach, which is an innovative approach to risk management and ensuring the reliability of IT systems. The article provides practical guidance for organizations that want to implement AI in IT risk and reliability management, improving the efficiency and security of IT systems. The article uses an analysis of the literature on the subject and empirical research, including the analysis of data from IT systems and tests of the effectiveness of various AI tools. Studies have shown that AI significantly improves threat detection, enabling you to identify potential cyber threats or cybersecurity incidents faster and more accurately. AI supports risk management through precise risk forecasting and assessment, and increases the reliability of IT systems by automating the maintenance and maintenance process, optimizing asset management, and detecting and repairing errors. The use of AI in IT risk and reliability management in a DevSecOps approach brings numerous benefits, but it requires taking into account challenges such as data quality assurance, algorithm transparency, and compliance with legal regulations and ethical standards. Integrating AI in DevSecOps can significantly increase the security and stability of IT systems.