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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">esjl</journal-id><journal-title-group><journal-title xml:lang="ru">Eurasian Scientific Journal of Law</journal-title><trans-title-group xml:lang="en"><trans-title>Eurasian Scientific Journal of Law</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2959-4197</issn><issn pub-type="epub">2959-4200</issn><publisher><publisher-name>Университет «Туран»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46914/2959-4197-2026-1-1-149-158</article-id><article-id custom-type="elpub" pub-id-type="custom">esjl-583</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>УГОЛОВНОЕ ПРАВО, УГОЛОВНЫЙ ПРОЦЕСС</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CRIMINAL LAW, CRIMINAL PROCEDURE</subject></subj-group></article-categories><title-group><article-title>Механизмы повышения кибербезопасности путем внедрения искусственного интеллекта в деятельность ОВД</article-title><trans-title-group xml:lang="en"><trans-title>Mechanisms for increasing cybersecurity through the introduction of artificial intelligence in the activities of the department of internal affairs</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7795-2518</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Апахаев</surname><given-names>Н. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Apakhaev</surname><given-names>N. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Апахаев Н.Ж., к.ю.н., профессор,</p><p>г. Алматы.</p></bio><bio xml:lang="en"><p>Apakhaev N.Zh., C.L.S., Professor,</p><p>Almaty.</p></bio><email xlink:type="simple">apahaev_nurlan@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-1049-6038</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зулеева</surname><given-names>А. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Zuleeva</surname><given-names>A. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Зулеева А.Ж., PhD, ассоциированный профессор,</p><p>г. Алматы.</p></bio><bio xml:lang="en"><p>Zuleeva A.Zh., PhD, Associate Professor,</p><p>Almaty.</p></bio><email xlink:type="simple">ainagul.z@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-8643-4058</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шидемов</surname><given-names>А. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Shidemov</surname><given-names>A. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шидемов А.Г., PhD, ассоциированный профессор,</p><p>г. Алматы.</p></bio><bio xml:lang="en"><p>Shidemov A.G., PhD, Associate Professor,</p><p>Almaty.</p></bio><email xlink:type="simple">Sh_azem@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Q University<country>Казахстан</country></aff><aff xml:lang="en">Q University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>26</day><month>03</month><year>2026</year></pub-date><volume>0</volume><issue>1(14)</issue><fpage>149</fpage><lpage>158</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Апахаев Н.Ж., Зулеева А.Ж., Шидемов А.Г., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Апахаев Н.Ж., Зулеева А.Ж., Шидемов А.Г.</copyright-holder><copyright-holder xml:lang="en">Apakhaev N.Z., Zuleeva A.Z., Shidemov A.G.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://esjl.turan-edu.kz/jour/article/view/583">https://esjl.turan-edu.kz/jour/article/view/583</self-uri><abstract><p>В настоящее время технологии искусственного интеллекта становятся катализатором кардинальных изменений в правоохранительной сфере. Усложнение киберпреступлений, обретение трансграничного характера и рост преступной активности в цифровом пространстве требуют применения органами внутренних дел новых подходов и инструментов. В данной статье подробно рассмотрены основные механизмы внедрения искусственного интеллекта в деятельность ОВД, его роль в обеспечении кибербезопасности и институциональные, правовые и технические аспекты практической реализации. В ходе исследования был проведен анализ стратегических документов и рекомендаций международных организаций Interpol, Europol, UNICRI и OECD, а также национальных стратегий цифровизации и кибербезопасности Республики Казахстан. В ходе исследования были изучены особенности и преимущества применения ИИ в деятельности ОВД на основе метода системного анализа, сопоставления зарубежного и отечественного опыта с целью оценки эффективности внедрения ИИ в деятельность ОВД и определения его влияния на систему кибербезопасности.</p></abstract><trans-abstract xml:lang="en"><p>Currently, artificial intelligence technologies are becoming a catalyst for radical changes in the field of law enforcement. The complication, transboundary nature of cybercrime and the increase in criminal activity in the digital space require the use of new approaches and tools by the internal affairs bodies. In this article, the main mechanisms for introducing artificial intelligence into the activities of the Department of internal affairs, its role in ensuring cybersecurity and institutional, legal and technical aspects of practical implementation are considered in detail. The study analyzed the strategic documents and recommendations of international organizations Interpol, Europol, UNICRI and OECD, as well as the National digitalization and cybersecurity strategies of the Republic of Kazakhstan. In the course of the study, in order to assess the effectiveness of the introduction of AI into the activities of the IAB and determine its impact on the cybersecurity system, the features and advantages of the use of AI in the activities of the IAB were studied on the basis of a systematic analysis method, a comparison of foreign and domestic experience.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>кибербезопасность</kwd><kwd>киберпреступность</kwd><kwd>анализ данных</kwd><kwd>машинное обучение</kwd><kwd>цифровизация</kwd><kwd>правовое регулирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>cybersecurity</kwd><kwd>cybercrime</kwd><kwd>data analytics</kwd><kwd>machine learning</kwd><kwd>digital transformation</kwd><kwd>legal regulation</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Responsible AI Innovation in Law Enforcement Toolkit // United Nations Interregional Crime and Justice Research Institute. 2024. 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