Artificial Intelligence in Cybersecurity. Chronicle. Issue 5
Abstract
This article presents the fifth issue of a monthly analytical series dedicated to the study of current trends at the intersection of artificial intelligence (AI) and cybersecurity. This periodic review aims to systematically monitor and structuredly analyze key events, regulatory initiatives, and technological advances in this field. Each issue covers three areas: 1) Incident and Threat Analysis. This section examines practical cases, vulnerabilities, and emerging risks associated with the use of AI technologies in security. We focus on such phenomena as the exploitation of vulnerabilities in generative AI systems, the development of adversarial attacks on machine learning models, as well as threats inherent in AI agents; 2) Regulatory Landscape Review. Particular attention is paid to regulatory dynamics at the global and national levels. New legislation, strategic initiatives, industry standards, and recommendations that form the legal and operational framework for the safe implementation of AI in the context of cybersecurity are analyzed; 3) Scientific and Technological Chronicle. Each issue includes an annotated list of significant scientific publications, research reports, and descriptions of innovative developments that contribute to the advancement of the subject area under consideration. It should be noted that the selection of materials for each edition, as well as their interpretation, inevitably reflect the professional expertise and analytical perspective of the authors.
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