{"id":928,"date":"2026-02-14T18:30:25","date_gmt":"2026-02-14T09:30:25","guid":{"rendered":"https:\/\/itexplore.org\/jp\/columns\/ai-trends-cybersecurity-theory-hardware-2026\/"},"modified":"2026-02-14T18:30:25","modified_gmt":"2026-02-14T09:30:25","slug":"ai-trends-cybersecurity-theory-hardware-2026","status":"publish","type":"post","link":"https:\/\/itexplore.org\/jp\/columns\/ai-trends-cybersecurity-theory-hardware-2026\/","title":{"rendered":"AI\u6280\u8853\u306e\u6700\u65b0\u52d5\u5411\uff1a\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u7406\u8ad6\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2"},"content":{"rendered":"<p>\u672c\u65e5\u306e\u6ce8\u76eeAI\u30fb\u30c6\u30c3\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u3001\u5c02\u9580\u7684\u306a\u5206\u6790\u3068\u5171\u306b\u304a\u5c4a\u3051\u3057\u307e\u3059\u3002<\/p>\n<div class=\"wp-block-vk-blocks-alert vk_alert alert alert-warning has-alert-icon\">\n<div class=\"vk_alert_icon\">\n<div class=\"vk_alert_icon_icon\"><i class=\"fa-solid fa-triangle-exclamation\" aria-hidden=\"true\"><\/i><\/div>\n<div class=\"vk_alert_icon_text\"><span>Warning<\/span><\/div>\n<\/div>\n<div class=\"vk_alert_content\">\n<p>\u3053\u306e\u8a18\u4e8b\u306fAI\u306b\u3088\u3063\u3066\u81ea\u52d5\u751f\u6210\u30fb\u5206\u6790\u3055\u308c\u305f\u3082\u306e\u3067\u3059\u3002AI\u306e\u6027\u8cea\u4e0a\u3001\u4e8b\u5b9f\u8aa4\u8a8d\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u91cd\u8981\u306a\u5224\u65ad\u3092\u4e0b\u3059\u969b\u306f\u5fc5\u305a\u30ea\u30f3\u30af\u5148\u306e\u4e00\u6b21\u30bd\u30fc\u30b9\u3092\u3054\u78ba\u8a8d\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">Vega\u3001\u30b5\u30a4\u30d0\u30fc\u8105\u5a01\u691c\u77e5\u3092\u518d\u8003\u3059\u308b\u4f01\u696d\u5411\u3051\u306b1\u51042000\u4e07\u30c9\u30eb\u306e\u30b7\u30ea\u30fc\u30baB\u8cc7\u91d1\u8abf\u9054<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Vega raises $120M Series B to rethink how enterprises detect cyber threats<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>Vega Security<\/strong>\u306f\u3001<strong>1\u51042000\u4e07\u30c9\u30eb<\/strong>\u306e\u30b7\u30ea\u30fc\u30baB\u8cc7\u91d1\u8abf\u9054\u3092\u5b8c\u4e86\u3057\u3001\u4f01\u696d\u8a55\u4fa1\u984d\u3092<strong>7\u5104\u30c9\u30eb<\/strong>\u3068\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30e9\u30a6\u30f3\u30c9\u306f<strong>Accel<\/strong>\u304c\u4e3b\u5c0e\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u540c\u793e\u306f\u3001\u5f93\u6765\u306eSIEM\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306b\u4ee3\u308f\u308b\u3001AI\u3092\u6d3b\u7528\u3057\u305f\u8105\u5a01\u691c\u77e5\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002Vega\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306f\u3001\u30c7\u30fc\u30bf\u3092\u4e00\u5143\u5316\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u30c7\u30fc\u30bf\u304c\u5b58\u5728\u3059\u308b\u5834\u6240\uff08\u30af\u30e9\u30a6\u30c9\u30b5\u30fc\u30d3\u30b9\u3001\u30c7\u30fc\u30bf\u30ec\u30a4\u30af\u3001\u65e2\u5b58\u306e\u30b9\u30c8\u30ec\u30fc\u30b8\u30b7\u30b9\u30c6\u30e0\u306a\u3069\uff09\u3067\u8105\u5a01\u691c\u77e5\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u306b\u91cd\u70b9\u3092\u7f6e\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u8cc7\u91d1\u306f\u3001AI\u30cd\u30a4\u30c6\u30a3\u30d6\u306a\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30b9\u30a4\u30fc\u30c8\u306e\u5f37\u5316\u3068\u3001\u5e02\u5834\u30d7\u30ec\u30bc\u30f3\u30b9\u306e\u62e1\u5927\u306b\u4f7f\u7528\u3055\u308c\u308b\u4e88\u5b9a\u3067\u3059\u3002<strong>Vega<\/strong>\u306f\u65e2\u306b\u4e3b\u8981\u9867\u5ba2\u3068\u306e\u5951\u7d04\u3092\u7372\u5f97\u3057\u3066\u304a\u308a\u3001\u305d\u306e\u9769\u65b0\u7684\u306a\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3078\u306e\u9700\u8981\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/techcrunch.com\/2026\/02\/10\/vega-raises-120m-series-b-to-rethink-how-enterprises-detect-cyber-threats\/\" target=\"_blank\" rel=\"noopener\">TechCrunch \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Vega Security raised $120M Series B to enhance its AI-native threat detection platform, challenging traditional SIEM solutions by processing security data at its source.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Rebecca Bellan<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>Vega Security<\/strong> has successfully closed a <strong>$120 million<\/strong> Series B funding round, achieving a valuation of <strong>$700 million<\/strong>. The round was led by <strong>Accel<\/strong>.<\/p>\n<p>The company aims to revolutionize enterprise cybersecurity by enabling threat detection where data resides, rather than centralizing it. This approach addresses the limitations of traditional SIEM tools, which struggle with the growing volume of security data.<\/p>\n<p>Vega plans to use the funds to enhance its AI-native security operations suite and expand its market presence. The company has already secured contracts with major clients, highlighting the demand for its innovative solutions.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">\u7121\u9650\u6642\u9593\u9818\u57df\u4fdd\u8a3c\u4ed8\u304d\u529b\u5b66\u7cfb\u306e\u305f\u3081\u306e\u666e\u904d\u8fd1\u4f3c\u5b9a\u7406<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p>\u3053\u306e\u8ad6\u6587\u3067\u306f\u3001<strong>\u30cb\u30e5\u30fc\u30e9\u30eb\u5e38\u5fae\u5206\u65b9\u7a0b\u5f0f\uff08Neural ODEs\uff09<\/strong>\u304c\u3001\u7121\u9650\u6642\u9593\u9818\u57df\uff08[0,\u221e)\uff09\u306b\u304a\u3044\u3066\u3001<strong>\u03b5-\u03b4\u8fd1\u63a5\u6027<\/strong>\u3092\u9054\u6210\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u5f93\u6765\u306e\u8fd1\u4f3c\u5b9a\u7406\u304c\u6709\u9650\u6642\u9593\u9818\u57df\u3084\u5b89\u5b9a\u3057\u305f\u5e73\u8861\u70b9\u3092\u6301\u3064\u30b7\u30b9\u30c6\u30e0\u306b\u9650\u5b9a\u3055\u308c\u3066\u3044\u305f\u9650\u754c\u3092\u514b\u670d\u3059\u308b\u3082\u306e\u3067\u3059\u3002<\/p>\n<p>\u5177\u4f53\u7684\u306b\u306f\u3001<strong>Morse-Smale\u30b7\u30b9\u30c6\u30e0<\/strong>\uff08\u53cc\u66f2\u56fa\u5b9a\u70b9\u3092\u6301\u3064\u5834\u5408\u3084\u3001\u6b63\u78ba\u306a\u5468\u671f\u30de\u30c3\u30c1\u30f3\u30b0\u3092\u4ecb\u3057\u3066\u53cc\u66f2\u6975\u9650\u30b5\u30a4\u30af\u30eb\u3092\u6301\u3064\u5834\u5408\uff09\u3068\u3001<strong>\u901a\u5e38\u53cc\u66f2\u9023\u7d9a\u30a2\u30c8\u30e9\u30af\u30bf\u30fc\u3092\u6301\u3064\u30b7\u30b9\u30c6\u30e0<\/strong>\uff08\u96e2\u6563\u5316\u3092\u4ecb\u3057\u3066\uff09\u306e3\u3064\u306e\u30af\u30e9\u30b9\u306b\u5bfe\u3057\u3066\u3001\u3053\u306e\u8fd1\u4f3c\u80fd\u529b\u3092\u8a3c\u660e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3055\u3089\u306b\u3001<strong>\u6642\u9593\u4e00\u822c\u5316\u30d0\u30a6\u30f3\u30c9<\/strong>\u3082\u78ba\u7acb\u3057\u3066\u304a\u308a\u3001\u03b5-\u03b4\u8fd1\u63a5\u6027\u304c\u3059\u3079\u3066\u306et\u22650\u3067L^p\u8aa4\u5dee\u2264\u03b5^p + \u03b4\u30fbD^p\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u4f4d\u76f8\u7684\u4fdd\u8a3c\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30e1\u30c8\u30ea\u30af\u30b9\u306b\u6a4b\u6e21\u3057\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u7d50\u679c\u306f\u3001\u591a\u5b89\u5b9a\u7121\u9650\u6642\u9593\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306b\u5bfe\u3059\u308b\u6700\u521d\u306e\u666e\u904d\u8fd1\u4f3c\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/arxiv.org\/abs\/2602.08640\" target=\"_blank\" rel=\"noopener\">arXiv \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> Neural ODEs can achieve universal approximation for dynamical systems over an infinite time horizon, addressing limitations of previous theorems and providing a framework for multistable dynamics.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Abel Sagodi, Il Memming Park<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p>This paper presents universal approximation theorems for <strong>Neural Ordinary Differential Equations (Neural ODEs)<\/strong>, demonstrating their ability to achieve <strong>\u03b5-\u03b4 closeness<\/strong> over an <strong>infinite time horizon<\/strong> ([0,\u221e)). This extends beyond the limitations of previous theorems that were restricted to finite time horizons or systems with globally stable equilibria.<\/p>\n<p>The authors prove this capability for three classes of systems: (1) Morse-Smale systems with hyperbolic fixed points, (2) Morse-Smale systems with hyperbolic limit cycles via exact period matching, and (3) systems with normally hyperbolic continuous attractors via discretization.<\/p>\n<p>Furthermore, a <strong>temporal generalization bound<\/strong> is established, showing that \u03b5-\u03b4 closeness implies an L^p error \u2264 \u03b5^p + \u03b4\u30fbD^p for all t \u2265 0. This bridges topological guarantees to training metrics, offering the first universal approximation framework for multistable infinite-horizon dynamics.<\/p>\n<\/blockquote>\n<\/div>\n<div class=\"wp-block-group\" style=\"margin-top:40px;margin-bottom:40px\">\n<h2 class=\"wp-block-heading\">OpenAI\u3001AI\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u300cio\u300d\u30d6\u30e9\u30f3\u30c9\u3092\u653e\u68c4<\/h2>\n<ul>\n<li><strong>\u539f\u984c:<\/strong> OpenAI Abandons \u2018io\u2019 Branding for Its AI Hardware<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">\u5c02\u9580\u30a2\u30ca\u30ea\u30b9\u30c8\u306e\u5206\u6790<\/h3>\n<div class=\"ai-summary-content\">\n<p><strong>OpenAI<\/strong>\u306f\u3001\u73fe\u5728\u9032\u884c\u4e2d\u306e\u5546\u6a19\u7d1b\u4e89\u306b\u95a2\u9023\u3059\u308b\u88c1\u5224\u6240\u63d0\u51fa\u66f8\u985e\u306b\u3088\u308b\u3068\u3001\u8a08\u753b\u4e2d\u306eAI\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c7\u30d0\u30a4\u30b9\u306b\u4f7f\u7528\u3059\u308b\u4e88\u5b9a\u3060\u3063\u305f\u300c<strong>io<\/strong>\u300d\u3068\u3044\u3046\u540d\u79f0\u306e\u4f7f\u7528\u3092\u4e2d\u6b62\u3059\u308b\u3053\u3068\u3092\u8a8d\u3081\u307e\u3057\u305f\u3002<\/p>\n<p>\u3053\u306e\u6c7a\u5b9a\u306f\u3001<strong>OpenAI<\/strong>\u304c\u4ee5\u524d\u8cb7\u53ce\u3057\u305f<strong>Jony Ive<\/strong>\u6c0f\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7\u306b\u95a2\u9023\u3059\u308b\u3082\u306e\u3067\u3001\u97f3\u58f0\u30b9\u30bf\u30fc\u30c8\u30a2\u30c3\u30d7<strong>iyO<\/strong>\u304b\u3089\u306e\u5546\u6a19\u6a29\u4fb5\u5bb3\u306e\u8a34\u8a1f\u3092\u53d7\u3051\u3066\u3044\u307e\u3059\u3002<strong>OpenAI<\/strong>\u306f\u3001\u65b0\u3057\u3044\u30d6\u30e9\u30f3\u30c9\u540d\u3092\u5f8c\u65e5\u767a\u8868\u3059\u308b\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u3055\u3089\u306b\u3001\u3053\u306e\u88c1\u5224\u6240\u63d0\u51fa\u66f8\u985e\u306f\u3001<strong>OpenAI<\/strong>\u306e\u6700\u521d\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30c7\u30d0\u30a4\u30b9\u304c<strong>2027\u5e74<\/strong>\u521d\u982d\u307e\u3067\u51fa\u8377\u3055\u308c\u306a\u3044\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u3053\u3068\u3082\u793a\u5506\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u4ee5\u524d\u306b\u793a\u3055\u308c\u3066\u3044\u305f2026\u5e74\u5f8c\u534a\u306e\u30ea\u30ea\u30fc\u30b9\u4e88\u5b9a\u3088\u308a\u3082\u9045\u3044\u6642\u671f\u3068\u306a\u308a\u307e\u3059\u3002\u73fe\u6642\u70b9\u3067\u306f\u3001\u88fd\u54c1\u306e\u5177\u4f53\u7684\u306a\u4ed5\u69d8\u3084\u3001\u30d1\u30c3\u30b1\u30fc\u30b8\u30f3\u30b0\u3001\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u8cc7\u6599\u306f\u307e\u3060\u4f5c\u6210\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n<p>\ud83d\udc49 <strong><a href=\"https:\/\/www.wired.com\/story\/openai-drops-io-branding-hardware-devices\/\" target=\"_blank\" rel=\"noopener\">Wired \u3067\u8a18\u4e8b\u5168\u6587\u3092\u8aad\u3080<\/a><\/strong><\/p>\n<\/div>\n<ul>\n<li><strong>\u8981\u70b9:<\/strong> OpenAI is abandoning the 'io' branding for its AI hardware device due to a trademark dispute, and the first product shipment is now expected in early 2027.<\/li>\n<li><strong>\u8457\u8005:<\/strong> Maxwell Zeff<\/li>\n<\/ul>\n<blockquote class=\"wp-block-quote\"><p><span>English Summary:<\/span><\/p>\n<p><strong>OpenAI<\/strong> has confirmed it will not use the branding \u201c<strong>io<\/strong>\u201d for its planned AI hardware device, according to a court filing related to an ongoing trademark dispute. This decision comes after a lawsuit was filed by audio startup <strong>iyO<\/strong>, stemming from OpenAI's acquisition of a hardware venture led by former Apple designer <strong>Jony Ive<\/strong>.<\/p>\n<p>The company stated that it reassessed its naming plan and decided against using \u201cio\u201d (or \u201cIYO,\u201d in any capitalization) for its AI-enabled hardware products. OpenAI plans to move forward with a new name, which will be shared at a later date.<\/p>\n<p>The court filing also indicates that OpenAI's first hardware device is now unlikely to ship before early <strong>2027<\/strong>, pushing back earlier expectations of a second-half 2026 release. Specific product details remain limited, and no packaging or marketing materials have been created yet.<\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001AI\u7406\u8ad6\u306e\u9032\u5c55\u3001OpenAI\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u6226\u7565\u306a\u3069\u3001AI\u5206\u91ce\u306e\u6700\u65b0\u6280\u8853\u52d5\u5411\u3092\u6df1\u6398\u308a\u3057\u307e\u3059\u3002<\/p>\n","protected":false},"author":1,"featured_media":852,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"vkexunit_cta_each_option":"","footnotes":""},"categories":[3],"tags":[8,170,57,171,56,172,115,15],"class_list":{"0":"post-928","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-columns","8":"tag-ai","10":"tag-openai","11":"tag-vega","12":"tag-56","13":"tag-ode","14":"tag-115"},"_links":{"self":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/928","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/comments?post=928"}],"version-history":[{"count":0,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/posts\/928\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media\/852"}],"wp:attachment":[{"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/media?parent=928"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/categories?post=928"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itexplore.org\/jp\/wp-json\/wp\/v2\/tags?post=928"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}