{"id":2871,"date":"2026-03-25T09:44:10","date_gmt":"2026-03-25T06:44:10","guid":{"rendered":"https:\/\/eurasialaw-journal.ru\/?p=2871"},"modified":"2026-03-25T09:44:33","modified_gmt":"2026-03-25T06:44:33","slug":"artificial-intelligence-in-the-system-of-terrorist-threat-prevention-russian","status":"publish","type":"post","link":"https:\/\/eurasialaw-journal.ru\/en\/artificial-intelligence-in-the-system-of-terrorist-threat-prevention-russian.html","title":{"rendered":"ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION"},"content":{"rendered":"<h1>ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION<\/h1>\r\n<div class=\"doi-text\">\r\n<p><strong>\u2116 1 (212) 2026<\/strong><\/p>\r\n<p><strong>DOI 10.46320\/2073-4506-2026-1-212-404-405<\/strong><\/p>\r\n<p><strong>Pages 404-405<\/strong><\/p>\r\n<p><strong>CHISTYAKOV Alexey Alexeevich <\/strong><br\/>Ph.D. in Law, professor, professor of Criminal law, criminal process and criminalistics sub-faculty, Institute of Law, Patrice Lumumba Peoples\\&#8217; Friendship University of Russia; professor, Institute of High-Tech Law, Social Sciences and Humanities, National Research University Moscow Institute of Electronic Technology (MIET)<\/p>\r\n<p><strong>KOLENTEEV Konstantin Evgenjevich <\/strong><br\/>postgraduate student, Institute of High-Tech Law, Social Sciences and Humanities, National Research University Moscow Institute of Electronic Technology (MIET)<\/p>\r\n<p><strong>ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION<\/strong><\/p>\r\n<p>The article explores the possibilities of using artificial intelligence technologies in the field of public safety and countering terrorist activities. It analyzes the key legal issues of using intelligent technologies, as well as the possibilities of using machine learning methods and processing large data sets in the practical work of law enforcement agencies. The article demonstrates that the adoption of these technologies enhances the effectiveness of information space monitoring, reinforces cybersecurity measures, and advances predictive capabilities for the detection of terrorist-related activities. The article substantiates the feasibility of integrating artificial intelligence technologies into the system of anti-terrorism measures.<\/p>\r\n<p><strong>Keywords:<\/strong> artificial intelligence, machine learning, security, anti-terrorism protection, video analytics, and facial recognition.<\/p>\r\n<hr>\r\n<p><strong>\u2116 1 (212) 2026<\/strong><\/p>\r\n<p><strong>\u0421\u0442\u0440\u0430\u043d\u0438\u0446\u044b 404-405<\/strong><\/p>\r\n<p><strong>\u0427\u0418\u0421\u0422\u042f\u041a\u041e\u0412 \u0410\u043b\u0435\u043a\u0441\u0435\u0439 \u0410\u043b\u0435\u043a\u0441\u0435\u0435\u0432\u0438\u0447 <\/strong><br\/>\u0434\u043e\u043a\u0442\u043e\u0440 \u044e\u0440\u0438\u0434\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043d\u0430\u0443\u043a, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u043a\u0430\u0444\u0435\u0434\u0440\u044b \u0443\u0433\u043e\u043b\u043e\u0432\u043d\u043e\u0433\u043e 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fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 -182 0 -211 15 -242 39 -76 157 -76 196 0 15 31 17 60 15 243 l-3 209 -33 29 c-26 23 -41 29 -80 29 -41 0 -53 -5 -78 -31z\"\/><path d=\"M3085 3251 c-45 -19 -58 -50 -96 -229 -47 -217 -49 -260 -13 -295 52 -53 146 -42 177 20 16 31 87 366 87 410 0 70 -86 122 -155 94z\"\/><path d=\"M1751 3234 c-13 -9 -29 -31 -37 -50 -12 -29 -10 -49 21 -204 19 -94 39 -189 45 -210 14 -50 54 -80 110 -80 34 0 48 6 76 34 21 21 34 44 34 59 0 14 -18 113 -40 219 -37 178 -43 195 -70 221 -36 32 -101 37 -139 11z\"\/><path d=\"M1163 3073 c-36 -7 -73 -59 -73 -102 0 -56 133 -378 171 -413 34 -32 83 -37 129 -13 70 36 67 87 -16 290 -86 209 -89 214 -129 231 -35 14 -42 15 -82 7z\"\/><path d=\"M3689 3066 c-15 -9 -33 -30 -42 -48 -48 -103 -147 -355 -147 -375 0 -98 131 -148 192 -74 13 15 57 108 97 206 80 196 84 226 37 273 -30 30 -99 39 -137 18z\"\/><path d=\"M583 2784 c-38 -19 -67 -74 -58 -113 9 -42 211 -354 242 -373 16 -10 45 -18 66 -18 51 0 107 52 107 100 0 39 -1 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306 141 649 -6 957 -25 52 -61 116 -79 142 l-34 47 45 -20 c26 -10 76 -36 113 -56z m-2057 25 c-40 -58 -105 -190 -130 -263 -110 -324 -59 -707 132 -981 25 -35 42 -64 37 -64 -19 0 -241 119 -326 174 -188 122 -406 314 -532 468 l-58 71 108 103 c185 178 428 349 672 473 66 33 121 60 123 61 2 0 -10 -19 -26 -42z\"\/><path d=\"M2375 1950 c-198 -44 -350 -190 -395 -379 -18 -76 -8 -221 19 -290 114 -284 457 -406 731 -260 98 52 188 154 231 260 27 69 37 214 19 290 -38 163 -166 304 -326 360 -67 23 -215 33 -279 19z\"\/><\/g><\/svg><\/i> &nbsp;110&nbsp;\u0412\u0421\u0415\u0413\u041e, &nbsp;3&nbsp;\u0421\u0415\u0413\u041e\u0414\u041d\u042f<\/p><div class=\"pvc_clear\"><\/div>","protected":false},"excerpt":{"rendered":"ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION \u2116 1 (212) 2026 DOI 10.46320\/2073-4506-2026-1-212-404-405 Pages 404-405 CHISTYAKOV Alexey Alexeevich Ph.D. in Law, professor, professor of Criminal law, criminal process and criminalistics sub-faculty, Institute of Law, Patrice Lumumba Peoples\\&#8217; Friendship University of Russia; professor, Institute of High-Tech Law, Social &#8230; <a title=\"ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION\" class=\"read-more\" href=\"https:\/\/eurasialaw-journal.ru\/en\/artificial-intelligence-in-the-system-of-terrorist-threat-prevention-russian.html\" aria-label=\"More on ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF TERRORIST THREAT PREVENTION: RUSSIAN EXPERIENCE AND PROSPECTS OF APPLICATION\">Read more<\/a><div class=\"pvc_clear\"><\/div><p class=\"pvc_stats all \" data-element-id=\"2871\" style=\"\"><i class=\"pvc-stats-icon large\" aria-hidden=\"true\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.0\" viewBox=\"0 0 502 315\" preserveAspectRatio=\"xMidYMid meet\"><g transform=\"translate(0,332) scale(0.1,-0.1)\" fill=\"\" stroke=\"none\"><path d=\"M2394 3279 l-29 -30 -3 -207 c-2 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