{"id":18626,"date":"2026-08-21T08:45:07","date_gmt":"2026-08-21T12:45:07","guid":{"rendered":"https:\/\/www.netwitness.com\/?post_type=glossary&#038;p=18626"},"modified":"2026-08-21T10:01:34","modified_gmt":"2026-08-21T14:01:34","slug":"artificial-intelligence-ai","status":"publish","type":"glossary","link":"https:\/\/www.netwitness.com\/ja\/cyber-glossary\/artificial-intelligence-ai\/","title":{"rendered":"Artificial Intelligence (AI)"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18626\" class=\"elementor elementor-18626\" data-elementor-post-type=\"glossary\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d7f09d2 e-flex e-con-boxed e-con e-parent\" data-id=\"d7f09d2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7565758 elementor-widget elementor-widget-heading\" data-id=\"7565758\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is Artificial Intelligence (AI)?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da689aa elementor-widget elementor-widget-text-editor\" data-id=\"da689aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b><span data-contrast=\"auto\">Artificial intelligence (AI)<\/span><\/b><span data-contrast=\"auto\"> refers to computer systems that can perform tasks that typically require human intelligence, such as recognizing patterns, understanding language, making predictions, solving problems, and learning from data.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Artificial Intelligence is now used across cybersecurity, healthcare, finance, manufacturing, customer service, and many other fields. In security operations, AI can analyze large volumes of data, identify unusual behavior, prioritize potential threats, and help analysts <a href=\"https:\/\/www.netwitness.com\/blog\/3-pillars-of-the-incident-response-investigation\/\" target=\"_blank\" rel=\"noopener\">investigate incidents<\/a> faster.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">The technology has also changed the threat landscape. Threat actors can use AI to create more convincing phishing attacks, automate reconnaissance, generate malicious content, and adapt attacks more quickly. This has made AI both a security capability and a new source of cyber risk.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c0a0ede e-con-full e-flex e-con e-child\" data-id=\"c0a0ede\" data-element_type=\"container\" data-e-type=\"container\" id=\"synonyms\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a3b8a4f elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"a3b8a4f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Synonyms<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0fdb30d e-con-full e-flex e-con e-child\" data-id=\"0fdb30d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a15d76 elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"1a15d76\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Cognitive Computing<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Machine Intelligence<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Machine Learning (ML)<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Synthetic Intelligence<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Intelligent Automation<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">AI-assisted Cyber Defense<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Adaptive Learning Systems<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Computational Intelligence<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Large Language Models (LLM)<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Intelligent Threat Detection<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"28\" height=\"28\" viewBox=\"0 0 28 28\" fill=\"none\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M13.9999 23.625H5.24992C4.89642 23.625 4.57705 23.4115 4.44142 23.0851C4.3058 22.7579 4.38104 22.3816 4.63129 22.1314L12.7627 14L4.63129 5.86863C4.38104 5.61838 4.3058 5.24213 4.44142 4.91488C4.57705 4.5885 4.89642 4.375 5.24992 4.375H13.9999C14.2318 4.375 14.4549 4.46687 14.6185 4.63137L23.3685 13.3814C23.7107 13.7226 23.7107 14.2774 23.3685 14.6186L14.6185 23.3686C14.4549 23.5331 14.2318 23.625 13.9999 23.625Z\" fill=\"#BE3A34\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Predictive Threat Intelligence<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9397ba4 elementor-widget elementor-widget-heading\" data-id=\"9397ba4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How Is Artificial Intelligence (AI) Used in Cybersecurity?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef941d5 elementor-widget elementor-widget-text-editor\" data-id=\"ef941d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">Security teams deal with enormous amounts of information every day. <a href=\"https:\/\/www.netwitness.com\/use-cases\/network-traffic-analysis-for-threat-detection\/\" target=\"_blank\" rel=\"noopener\">Network traffic<\/a>, <a href=\"https:\/\/www.netwitness.com\/blog\/what-is-edr\/\" target=\"_blank\" rel=\"noopener\">endpoint activity<\/a>, authentication events, cloud logs, vulnerabilities, threat intelligence, and security alerts all contribute to that volume.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Artificial Intelligence (AI) can process this information on a scale that would be difficult to achieve through manual analysis alone. Depending on the AI models and techniques being used, it can identify patterns, flag unusual activity, correlate events, and help analysts decide what deserves attention.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Common AI applications in cybersecurity include:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><ul><li><b><span data-contrast=\"auto\">Threat detection:<\/span><\/b><span data-contrast=\"auto\"> Identifying suspicious activity across networks, endpoints, applications, and <a href=\"https:\/\/www.netwitness.com\/blog\/cloud-threat-detection\/\" target=\"_blank\" rel=\"noopener\">cloud environments<\/a>.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Phishing detection:<\/span><\/b><span data-contrast=\"auto\"> Examining messages, links, sender behavior, and content to identify potential <a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/phishing\/\" target=\"_blank\" rel=\"noopener\">phishing attacks<\/a>.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Behavioral analytics:<\/span><\/b><span data-contrast=\"auto\"> Establishing normal patterns of activity and highlighting significant deviations.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Fraud detection:<\/span><\/b><span data-contrast=\"auto\"> Finding unusual transactions or user behavior that may indicate fraud.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Vulnerability management:<\/span><\/b><span data-contrast=\"auto\"> Helping security teams identify, assess, and prioritize vulnerabilities.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Threat hunting:<\/span><\/b><span data-contrast=\"auto\"> Searching large datasets for patterns associated with hidden or emerging threats.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Incident response:<\/span><\/b><span data-contrast=\"auto\"> Supporting investigation, <a href=\"https:\/\/www.netwitness.com\/resources\/service-overview\/potential-response-evaluation-analysis-containment-and-triage\/\" target=\"_blank\" rel=\"noopener\">incident triage<\/a>, threat identification, and response decisions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Malware detection:<\/span><\/b><span data-contrast=\"auto\"> Analyzing files and behavior to identify potentially malicious activity.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Alert prioritization:<\/span><\/b><span data-contrast=\"auto\"> Correlating related events and helping analysts focus on the incidents with the greatest potential impact.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">AI-powered security solutions can be built into endpoint security, <a href=\"https:\/\/www.netwitness.com\/modules\/security-information-event-management\/\" target=\"_blank\" rel=\"noopener\">SIEM<\/a>, <a href=\"https:\/\/www.netwitness.com\/modules\/network-detection-and-response-ndr\/\" target=\"_blank\" rel=\"noopener\">NDR<\/a>, firewalls, cloud security, and other cybersecurity systems.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-26738ec elementor-widget elementor-widget-heading\" data-id=\"26738ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI-Powered Threat Detection<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59d0148 elementor-widget elementor-widget-text-editor\" data-id=\"59d0148\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">Traditional security tools often depend heavily on known signatures, rules, and <a href=\"https:\/\/www.netwitness.com\/blog\/indicators-of-compromise\/\" target=\"_blank\" rel=\"noopener\">indicators of compromise (IOCs)<\/a>. These remain useful, but they can struggle with previously unseen or rapidly changing attacks.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">AI-driven security approaches can look for patterns in behavior rather than relying only on a known signature.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">For example, an account suddenly logging in from an unusual location, accessing systems it has never used before, and downloading an unusually large volume of data may warrant investigation. No single event necessarily proves an attack. Taken together, however, the behavior may indicate compromise.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">AI threat detection can help identify these relationships and surface activity that might otherwise be missed.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">This does not mean Artificial Intelligence replaces conventional detection. In practice, effective cybersecurity systems combine rules, signatures, threat intelligence, behavioral analysis, <a href=\"https:\/\/www.netwitness.com\/blog\/artificial-intelligence-and-machine-learning\/\" target=\"_blank\" rel=\"noopener\">machine learning models<\/a>, and human investigation.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6df086e elementor-widget elementor-widget-heading\" data-id=\"6df086e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Artificial Intelligence (AI) Risks and Challenges<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-407422f elementor-widget elementor-widget-text-editor\" data-id=\"407422f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">AI (Artificial Intelligence) does not eliminate cybersecurity problems. It introduces some of its own.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Important considerations include:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><ul><li><b><span data-contrast=\"auto\">Data risks:<\/span><\/b><span data-contrast=\"auto\"> Sensitive information may be exposed through poorly controlled Artificial Intelligence systems.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Model reliability:<\/span><\/b><span data-contrast=\"auto\"> AI can produce incorrect or misleading results.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Adversarial manipulation:<\/span><\/b><span data-contrast=\"auto\"> Attackers may deliberately manipulate inputs to influence AI systems.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Privacy:<\/span><\/b><span data-contrast=\"auto\"> AI systems may process sensitive personal, business, or security data.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">False positives and negatives:<\/span><\/b><span data-contrast=\"auto\"> AI-based detection can still miss threats or flag legitimate activity.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Lack of explainability:<\/span><\/b><span data-contrast=\"auto\"> Some AI models make decisions that are difficult to interpret.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">AI-enabled attacks:<\/span><\/b><span data-contrast=\"auto\"> Threat actors can use Artificial Intelligence to improve the speed and scale of cyberattacks.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/li><\/ul><p><span data-contrast=\"auto\">For these reasons, <span class=\"TextRun SCXW26060259 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW26060259 BCX0\">Artificial Intelligence (AI)<\/span><\/span> should operate within a wider <a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/security-posture\/\" target=\"_blank\" rel=\"noopener\">security posture management<\/a> and <a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/cybersecurity-risk-management\/\" target=\"_blank\" rel=\"noopener\">risk management<\/a> strategy rather than being treated as a standalone solution.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a696432 elementor-widget elementor-widget-heading\" data-id=\"a696432\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Related Terms &amp; Synonyms<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f71e3e5 elementor-widget elementor-widget-text-editor\" data-id=\"f71e3e5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul><li><b><span data-contrast=\"auto\">Cognitive Computing:<\/span><\/b><span data-contrast=\"auto\"> Systems designed to simulate aspects of human reasoning, learning, and decision-making.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Machine Intelligence:<\/span><\/b><span data-contrast=\"auto\"> The ability of computer systems to perform tasks that require learning, reasoning, or problem-solving.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Machine Learning (ML):<\/span><\/b><span data-contrast=\"auto\"> A branch of AI in which systems learn patterns from data to make predictions or decisions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Synthetic Intelligence:<\/span><\/b><span data-contrast=\"auto\"> A term sometimes used to describe artificially created intelligence or intelligent computational systems.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Intelligent Automation:<\/span><\/b><span data-contrast=\"auto\"> The combination of automation and AI to perform tasks that require analysis, decision-making, or adaptation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">AI-Assisted Cyber Defense:<\/span><\/b><span data-contrast=\"auto\"> The use of AI to support security teams with threat detection, analysis, investigation, and response.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Adaptive Learning Systems:<\/span><\/b><span data-contrast=\"auto\"> Systems that adjust their behavior or predictions as they process new data and changing patterns.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Computational Intelligence:<\/span><\/b><span data-contrast=\"auto\"> AI approaches that use methods such as neural networks, fuzzy systems, and evolutionary algorithms to solve complex problems.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Large Language Models (LLMs):<\/span><\/b><span data-contrast=\"auto\"> AI models trained on large datasets of text to understand and generate human language.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Intelligent Threat Detection:<\/span><\/b><span data-contrast=\"auto\"> The use of AI and analytical techniques to identify suspicious activity and potential cyber threats.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><li><b><span data-contrast=\"auto\">Predictive Threat Intelligence:<\/span><\/b><span data-contrast=\"auto\"> The use of data analysis and AI techniques to identify patterns that may indicate future threats or attack activity.<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b9b8efb e-flex e-con-boxed e-con e-parent\" data-id=\"b9b8efb\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a7b41d3 elementor-widget elementor-widget-heading\" data-id=\"a7b41d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">People Also Ask<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c2498ac e-con-full e-flex e-con e-child\" data-id=\"c2498ac\" data-element_type=\"container\" data-e-type=\"container\" id=\"faq-section\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b7af59c elementor-widget elementor-widget-n-accordion\" data-id=\"b7af59c\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1920\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-1920\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 1. What are the limitations of AI in cybersecurity? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1920\" class=\"elementor-element elementor-element-7f4aa81 e-con-full e-flex e-con e-child\" data-id=\"7f4aa81\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1920\" class=\"elementor-element elementor-element-0a80958 e-flex e-con-boxed e-con e-child\" data-id=\"0a80958\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-afe789b elementor-widget elementor-widget-text-editor\" data-id=\"afe789b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW26060259 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW26060259 BCX0\">Artificial Intelligence (AI) can produce false positives, miss sophisticated threats, depend heavily on data quality, and generate incorrect conclusions. It can also introduce privacy, explainability, and model security concerns.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1921\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1921\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 2. How does AI improve threat detection compared to signature-based methods? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1921\" class=\"elementor-element elementor-element-0cb3db5 e-con-full e-flex e-con e-child\" data-id=\"0cb3db5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1921\" class=\"elementor-element elementor-element-f66bb0a e-flex e-con-boxed e-con e-child\" data-id=\"f66bb0a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a341ecb elementor-widget elementor-widget-text-editor\" data-id=\"a341ecb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW182820433 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW182820433 BCX0\"><span class=\"TextRun SCXW26060259 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW26060259 BCX0\">Artificial Intelligence (AI)<\/span><\/span> can <\/span><span class=\"NormalTextRun SCXW182820433 BCX0\">identify<\/span> <span class=\"NormalTextRun SCXW182820433 BCX0\">behavioral<\/span><span class=\"NormalTextRun SCXW182820433 BCX0\"> patterns and anomalies that may not match a known signature. Signature-based detection <\/span><span class=\"NormalTextRun SCXW182820433 BCX0\">remains<\/span><span class=\"NormalTextRun SCXW182820433 BCX0\"> valuable for known threats, while AI can add another layer for <\/span><span class=\"NormalTextRun SCXW182820433 BCX0\">identifying<\/span><span class=\"NormalTextRun SCXW182820433 BCX0\"> unusual or previously unseen activity.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1922\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1922\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 3. How does AI benefit cybersecurity? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1922\" class=\"elementor-element elementor-element-5813b56 e-con-full e-flex e-con e-child\" data-id=\"5813b56\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1922\" class=\"elementor-element elementor-element-d9f0ad3 e-flex e-con-boxed e-con e-child\" data-id=\"d9f0ad3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb79a0d elementor-widget elementor-widget-text-editor\" data-id=\"eb79a0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW255264290 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW255264290 BCX0\">AI can help security teams <\/span><span class=\"NormalTextRun SCXW255264290 BCX0\">analyze<\/span><span class=\"NormalTextRun SCXW255264290 BCX0\"> large datasets, detect unusual <\/span><span class=\"NormalTextRun SCXW255264290 BCX0\">behavior<\/span><span class=\"NormalTextRun SCXW255264290 BCX0\">, <\/span><span class=\"NormalTextRun SCXW255264290 BCX0\">prioritize<\/span><span class=\"NormalTextRun SCXW255264290 BCX0\"> alerts, <\/span><span class=\"NormalTextRun SCXW255264290 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW255264290 BCX0\"> threats, investigate incidents, and automate repetitive security tasks.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1923\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1923\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 4. What's the difference between AI, Machine Learning (ML), and Deep Learning? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1923\" class=\"elementor-element elementor-element-38bd880 e-con-full e-flex e-con e-child\" data-id=\"38bd880\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1923\" class=\"elementor-element elementor-element-f75101f e-flex e-con-boxed e-con e-child\" data-id=\"f75101f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ae8c5a elementor-widget elementor-widget-text-editor\" data-id=\"1ae8c5a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW214082397 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW214082397 BCX0\"><span class=\"TextRun SCXW26060259 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW26060259 BCX0\">Artificial Intelligence (AI)<\/span><\/span> is <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW214082397 BCX0\">the<\/span><span class=\"NormalTextRun SCXW214082397 BCX0\"> broad field. Machine learning is a subset of AI that learns patterns from data. Deep learning is a form of machine learning based on multi-layered neural networks.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1924\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1924\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 5. What is Narrow AI vs. General AI (AGI) vs. Superintelligence? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1924\" class=\"elementor-element elementor-element-606f103 e-con-full e-flex e-con e-child\" data-id=\"606f103\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1924\" class=\"elementor-element elementor-element-9ac2c15 e-flex e-con-boxed e-con e-child\" data-id=\"9ac2c15\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da93424 elementor-widget elementor-widget-text-editor\" data-id=\"da93424\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW263455982 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW263455982 BCX0\">Narrow AI is designed for specific tasks. Artificial General Intelligence refers to a theoretical form of AI with broad human-like intellectual capabilities. Superintelligence refers to a hypothetical system whose capabilities <\/span><span class=\"NormalTextRun SCXW263455982 BCX0\">substantially exceed<\/span><span class=\"NormalTextRun SCXW263455982 BCX0\"> human intelligence.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1925\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1925\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 6. What is the difference between AI and automation? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1925\" class=\"elementor-element elementor-element-fc973b2 e-con-full e-flex e-con e-child\" data-id=\"fc973b2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1925\" class=\"elementor-element elementor-element-bdc6450 e-flex e-con-boxed e-con e-child\" data-id=\"bdc6450\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a802f44 elementor-widget elementor-widget-text-editor\" data-id=\"a802f44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW153197256 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW153197256 BCX0\">Automation follows predefined rules to perform tasks, while <span class=\"TextRun SCXW26060259 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW26060259 BCX0\">Artificial Intelligence (AI)<\/span><\/span> can <\/span><span class=\"NormalTextRun SCXW153197256 BCX0\">analyze<\/span><span class=\"NormalTextRun SCXW153197256 BCX0\"> data, <\/span><span class=\"NormalTextRun SCXW153197256 BCX0\">recognize<\/span><span class=\"NormalTextRun SCXW153197256 BCX0\"> patterns, and make predictions or recommendations. Security platforms can combine both.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1926\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1926\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 7. What is a large language model (LLM)? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1926\" class=\"elementor-element elementor-element-d99a925 e-con-full e-flex e-con e-child\" data-id=\"d99a925\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1926\" class=\"elementor-element elementor-element-7a6d731 e-flex e-con-boxed e-con e-child\" data-id=\"7a6d731\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c8d617a elementor-widget elementor-widget-text-editor\" data-id=\"c8d617a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW57222016 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW57222016 BCX0\">An LLM is an AI model trained <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW57222016 BCX0\">on<\/span> <span class=\"NormalTextRun SCXW57222016 BCX0\">large amounts<\/span><span class=\"NormalTextRun SCXW57222016 BCX0\"> of text that can understand and generate language. LLMs are commonly used for text generation, <\/span><span class=\"NormalTextRun SCXW57222016 BCX0\">summarization<\/span><span class=\"NormalTextRun SCXW57222016 BCX0\">, analysis, and conversational applications.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1927\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"8\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1927\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 8. How is natural language processing (NLP) used? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1927\" class=\"elementor-element elementor-element-9ed7a9d e-con-full e-flex e-con e-child\" data-id=\"9ed7a9d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1927\" class=\"elementor-element elementor-element-a03042d e-flex e-con-boxed e-con e-child\" data-id=\"a03042d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-51da103 elementor-widget elementor-widget-text-editor\" data-id=\"51da103\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW236642890 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW236642890 BCX0\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_language_processing\" target=\"_blank\" rel=\"noopener nofollow\">NLP<\/a> allows computers to process human language. In cybersecurity, it can support analysis of security reports, threat intelligence, messages, incident notes, and other text-based information.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1928\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"9\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1928\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 9. Can AI automatically attribute attacks to specific threat actors? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1928\" class=\"elementor-element elementor-element-fb25802 e-con-full e-flex e-con e-child\" data-id=\"fb25802\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1928\" class=\"elementor-element elementor-element-d1a7dc2 e-flex e-con-boxed e-con e-child\" data-id=\"d1a7dc2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-297e543 elementor-widget elementor-widget-text-editor\" data-id=\"297e543\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW220823727 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW220823727 BCX0\">AI can compare observed <\/span><span class=\"NormalTextRun SCXW220823727 BCX0\">behaviors<\/span><span class=\"NormalTextRun SCXW220823727 BCX0\"> with known threat intelligence and attack patterns, but attribution is rarely certain. Human analysis and multiple sources of evidence are <\/span><span class=\"NormalTextRun SCXW220823727 BCX0\">generally needed<\/span><span class=\"NormalTextRun SCXW220823727 BCX0\"> before linking an attack to a specific <\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW220823727 BCX0\">threat<\/span><span class=\"NormalTextRun SCXW220823727 BCX0\"> actor.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1929\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"10\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1929\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 10. How does AI help correlate and prioritize massive volumes of security alerts? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1929\" class=\"elementor-element elementor-element-f9dc13d e-con-full e-flex e-con e-child\" data-id=\"f9dc13d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1929\" class=\"elementor-element elementor-element-fea07ad e-flex e-con-boxed e-con e-child\" data-id=\"fea07ad\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-20e0fbc elementor-widget elementor-widget-text-editor\" data-id=\"20e0fbc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW46683700 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW46683700 BCX0\">AI can examine relationships between alerts, events, users, devices, and other signals to <\/span><span class=\"NormalTextRun SCXW46683700 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW46683700 BCX0\"> related activity and help rank incidents according to their potential significance.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-19210\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"11\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-19210\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 11. Can AI summarize or triage incidents faster than human analysts? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19210\" class=\"elementor-element elementor-element-e8bba15 e-con-full e-flex e-con e-child\" data-id=\"e8bba15\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19210\" class=\"elementor-element elementor-element-8f41302 e-flex e-con-boxed e-con e-child\" data-id=\"8f41302\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-16897e5 elementor-widget elementor-widget-text-editor\" data-id=\"16897e5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW219404122 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW219404122 BCX0\">Yes. AI can process <\/span><span class=\"NormalTextRun SCXW219404122 BCX0\">large amounts<\/span><span class=\"NormalTextRun SCXW219404122 BCX0\"> of incident data and generate summaries or recommendations quickly. Analysts should still <\/span><span class=\"NormalTextRun SCXW219404122 BCX0\">validate<\/span><span class=\"NormalTextRun SCXW219404122 BCX0\"> important findings before taking high-impact actions.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-19211\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"12\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-19211\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 12. How is AI used in fraud detection? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19211\" class=\"elementor-element elementor-element-615ce24 e-con-full e-flex e-con e-child\" data-id=\"615ce24\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19211\" class=\"elementor-element elementor-element-f15102a e-flex e-con-boxed e-con e-child\" data-id=\"f15102a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2ed6e40 elementor-widget elementor-widget-text-editor\" data-id=\"2ed6e40\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW225460280 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW225460280 BCX0\">AI models can <\/span><span class=\"NormalTextRun SCXW225460280 BCX0\">analyze<\/span><span class=\"NormalTextRun SCXW225460280 BCX0\"> transaction and user <\/span><span class=\"NormalTextRun SCXW225460280 BCX0\">behavior<\/span><span class=\"NormalTextRun SCXW225460280 BCX0\"> to identify patterns associated with fraudulent activity.<\/span><span class=\"NormalTextRun SCXW225460280 BCX0\"> Unusual transactions can then be flagged for further investigation.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-19212\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"13\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-19212\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 13. What is AI-driven User and Entity Behavior Analytics (UEBA)? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19212\" class=\"elementor-element elementor-element-41a1d44 e-con-full e-flex e-con e-child\" data-id=\"41a1d44\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19212\" class=\"elementor-element elementor-element-77f5d3f e-flex e-con-boxed e-con e-child\" data-id=\"77f5d3f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5222d44 elementor-widget elementor-widget-text-editor\" data-id=\"5222d44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW69218021 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW69218021 BCX0\">AI-driven UEBA analyses <\/span><span class=\"NormalTextRun SCXW69218021 BCX0\">behavior<\/span><span class=\"NormalTextRun SCXW69218021 BCX0\"> associated with users and entities such as devices or accounts to <\/span><span class=\"NormalTextRun SCXW69218021 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW69218021 BCX0\"> meaningful deviations from expected activity.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-19213\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"14\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-19213\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> 14. How does AI-powered malware detection work? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1402)\"><path d=\"M39.9375 19.9998C39.9375 31.0111 31.0111 39.9375 19.9998 39.9375C8.98853 39.9375 0.0617981 31.0111 0.0617981 19.9998C0.0617981 8.98853 8.98853 0.0617981 19.9998 0.0617981C31.006 0.0742111 39.9251 8.99328 39.9375 19.9998ZM2.05582 19.9998C2.05582 29.9101 10.0896 37.9438 19.9998 37.9438C29.9101 37.9438 37.9438 29.9101 37.9438 19.9998C37.9438 10.0896 29.9101 2.05582 19.9998 2.05582C10.0943 2.06714 2.06714 10.0943 2.05582 19.9998Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 22.3341C28.0909 22.7489 28.0485 23.3786 27.6342 23.7411C27.2195 24.1033 26.5897 24.0609 26.2272 23.6466L19.9998 16.5291L13.772 23.6469C13.4095 24.0617 12.7798 24.1036 12.3654 23.7415C11.9507 23.379 11.9083 22.7492 12.2709 22.3345L19.2492 14.3595C19.4383 14.143 19.7121 14.0189 19.9998 14.0189C20.2875 14.0189 20.5609 14.143 20.7504 14.3595L27.7284 22.3341Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1402\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 -1 -1 0 39.9375 39.9375)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"40\" height=\"40\" viewBox=\"0 0 40 40\" fill=\"none\"><g clip-path=\"url(#clip0_726_1407)\"><path d=\"M39.9375 20.0002C39.9375 8.98887 31.0111 0.0625 19.9998 0.0625C8.98853 0.0625 0.0617981 8.98887 0.0617981 20.0002C0.0617981 31.0115 8.98853 39.9382 19.9998 39.9382C31.006 39.9258 39.9251 31.0067 39.9375 20.0002ZM2.05582 20.0002C2.05582 10.0899 10.0896 2.05616 19.9998 2.05616C29.9101 2.05616 37.9438 10.0899 37.9438 20.0002C37.9438 29.9104 29.9101 37.9442 19.9998 37.9442C10.0943 37.9329 2.06714 29.9057 2.05582 20.0002Z\" fill=\"#001D3B\"><\/path><path d=\"M27.7284 17.6659C28.0909 17.2511 28.0485 16.6214 27.6342 16.2589C27.2195 15.8967 26.5897 15.9391 26.2272 16.3534L19.9998 23.4709L13.772 16.3531C13.4095 15.9383 12.7798 15.8964 12.3654 16.2585C11.9507 16.621 11.9083 17.2508 12.2709 17.6655L19.2492 25.6405C19.4383 25.857 19.7121 25.9811 19.9998 25.9811C20.2875 25.9811 20.5609 25.857 20.7504 25.6405L27.7284 17.6659Z\" fill=\"#001D3B\"><\/path><\/g><defs><clipPath id=\"clip0_726_1407\"><rect width=\"39.8756\" height=\"39.8756\" fill=\"white\" transform=\"matrix(0 1 -1 0 39.9375 0.0625)\"><\/rect><\/clipPath><\/defs><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19213\" class=\"elementor-element elementor-element-a127483 e-con-full e-flex e-con e-child\" data-id=\"a127483\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-19213\" class=\"elementor-element elementor-element-4c23ad4 e-flex e-con-boxed e-con e-child\" data-id=\"4c23ad4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7777c09 elementor-widget elementor-widget-text-editor\" data-id=\"7777c09\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW47113851 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW47113851 BCX0\">AI-powered malware detection can <\/span><span class=\"NormalTextRun SCXW47113851 BCX0\">analyze<\/span><span class=\"NormalTextRun SCXW47113851 BCX0\"> file characteristics, execution <\/span><span class=\"NormalTextRun SCXW47113851 BCX0\">behavior<\/span><span class=\"NormalTextRun SCXW47113851 BCX0\">, code patterns, and other signals to <\/span><span class=\"NormalTextRun SCXW47113851 BCX0\">identify<\/span><span class=\"NormalTextRun SCXW47113851 BCX0\"> potentially malicious activity, including <\/span><span class=\"NormalTextRun SCXW47113851 BCX0\">behavior<\/span><span class=\"NormalTextRun SCXW47113851 BCX0\"> that may not match a known malware signature.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"1. 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