{"id":17787,"date":"2026-07-30T02:28:27","date_gmt":"2026-07-30T06:28:27","guid":{"rendered":"https:\/\/www.netwitness.com\/?post_type=glossary&#038;p=17787"},"modified":"2026-07-30T02:48:37","modified_gmt":"2026-07-30T06:48:37","slug":"threat-detection","status":"publish","type":"glossary","link":"https:\/\/www.netwitness.com\/it\/cyber-glossary\/threat-detection\/","title":{"rendered":"Threat Detection"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"17787\" class=\"elementor elementor-17787\" 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 Threat Detection?<\/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><span data-contrast=\"auto\">Threat detection is the practice of identifying, recognizing, and alerting on malicious activities, security incidents, cyberattacks, and indicators of compromise across organizational networks, systems, endpoints, cloud environments, and applications in real-time or near real-time through automated technologies, behavioral analysis, threat intelligence correlation, and expert analysis that enables rapid incident response before threats cause significant damage.<\/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 critical cybersecurity function combines multiple detection methods including signature-based analysis matching known malware signatures, behavioral-based detection identifying suspicious activities deviating from normal patterns, threat intelligence correlation with known indicators of compromise (IoCs), machine learning identifying novel attack techniques, and threat hunting where analysts proactively search for hidden threats.<\/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\">Risk 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\">Threat Modelling<\/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\">Breach 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\">Anomaly 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\">Threat Monitoring<\/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\">Malware 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\">Incident 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\">Risk Identification<\/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\">Intrusion 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\">Vulnerability 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\">Threat Detection and Response (TDR)<\/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\">Network Detection and Response (NDR)<\/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\">Managed Detection and Response (MDR)<\/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\">Endpoint Detection and Response (EDR)<\/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\">Extended Detection and Response (XDR)<\/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\">Why Threat Detection Matters<\/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\">Organizations cannot afford extended periods where attackers\u00a0operate\u00a0undetected within networks, making effective threat detection capabilities essential for organizational security.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">1. Dwell Time Directly Correlates with Damage<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">The longer attackers remain undetected within networks, the greater damage they cause. Average attacker dwell time measured in months enables extensive data theft, lateral movement across systems, and complete understanding of organizational <a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/security-posture\/\" target=\"_blank\" rel=\"noopener\">security posture<\/a>. Threat detection systems that identify attackers within hours or days dramatically limit damage.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">2. Speed Enables Effective Response<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Threat detection provides the critical first step enabling <a href=\"https:\/\/www.netwitness.com\/resources\/service-overview\/irrap-rapid-incident-response-for-advanced-threats\/\" target=\"_blank\" rel=\"noopener\">rapid incident response<\/a>. Without detection, incident response never activates and attackers continue operating unchecked. Real-time threat detection enables immediate containment actions that threat detection and remediation procedures automate.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">3. Known and Unknown Threats Require Different Methods<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Traditional detection methods effectively identify known threats using recognized signatures and patterns. However, novel attacks using zero-day exploits and unknown techniques evade signature-based detection requiring behavioral analysis and anomaly detection catching deviations from normal activity regardless of whether threats match known signatures.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">4. Human-Centric Attacks Bypass Technical Defenses<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Threat actors increasingly target humans through phishing, social engineering, and manipulation rather than directly attacking infrastructure. <a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/identity-threat-detection-and-response\/\" target=\"_blank\" rel=\"noopener\">Identity threat detection and response<\/a> capabilities focus on detecting compromised credentials and suspicious user activities that technical infrastructure monitoring misses.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">5. False Positives Create Alert Fatigue<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Traditional detection generates excessive false positives overwhelming analysts. Effective threat detection balances detection sensitivity maintaining security with reducing false positives enabling analysts to focus on genuine threats without alert fatigue causing real threats to 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><h3><b><span data-contrast=\"auto\">6. Compliance Mandates Demonstrable Detection<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Regulatory frameworks including GDPR, HIPAA, PCI DSS, and SOC 2 require demonstrable continuous monitoring and rapid threat response. Threat detection systems provide evidence satisfying compliance requirements documenting security vigilance.<\/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\">How Threat Detection Works<\/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\">Effective threat detection integrates multiple detection methods and technologies:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">1. Signature-Based Detection<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Threat detection tools compare observed activities against known malware signatures, attack patterns, and <a href=\"https:\/\/www.netwitness.com\/blog\/indicators-of-compromise\/\" target=\"_blank\" rel=\"noopener\">indicators of compromise (IoCs)<\/a> from threat intelligence feeds. When activity matches known signatures, alerts trigger enabling rapid response to recognized threats.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">2. Behavioral Analysis and Anomaly Detection<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Threat detection systems establish baselines of normal network and user behavior, then identify deviations indicating potential threats. Unusual login patterns, unexpected file access, abnormal bandwidth usage, or suspicious process execution trigger alerts for investigation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">3. Threat Intelligence Correlation<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">Real-time threat monitoring incorporates external threat intelligence about malicious infrastructure, adversary techniques, and attack patterns. Correlation with threat intelligence enables detection of threats matching known attack methods even without specific signatures.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">4. Machine Learning and AI<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">AI-powered threat detection and AI-driven threat detection use machine learning algorithms analyzing massive data volumes identifying patterns humans cannot manually detect. These advanced systems improve over time learning from incident data and threat intelligence.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">5. Network Telemetry Analysis<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\"><a href=\"https:\/\/www.netwitness.com\/modules\/network-detection-and-response-ndr\/\" target=\"_blank\" rel=\"noopener\">Network detection and response (NDR)<\/a> examines network traffic analyzing communication patterns, protocols, data volumes, and endpoints communicating. Network telemetry reveals lateral movement, command-and-control communications, and data exfiltration that endpoint monitoring misses.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">6. Endpoint Monitoring<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\"><a href=\"https:\/\/www.netwitness.com\/modules\/endpoint-detection-and-response-edr\/\" target=\"_blank\" rel=\"noopener\">Endpoint Detection and Response (EDR)<\/a> monitors endpoint devices tracking process execution, file modifications, network connections, and system activities detecting malware execution, unauthorized access, and suspicious behaviors.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">7. User and Entity Behavior Analytics (UEBA)<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">These systems establish behavioral baselines for users and systems detecting anomalies indicating compromised credentials, insider threats, or lateral movement by attackers using legitimate credentials.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p><h3><b><span data-contrast=\"auto\">8. Automated Response Execution<\/span><\/b><span data-contrast=\"auto\">:<\/span><\/h3><p><span data-contrast=\"auto\">When threats are detected, automated <a href=\"https:\/\/www.netwitness.com\/platform\/threat-detection-and-response\/\" target=\"_blank\" rel=\"noopener\">threat detection and response<\/a> systems execute predefined containment actions including system isolation, process termination, account disabling, and malicious IP blocking without human intervention.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7380189 elementor-widget elementor-widget-heading\" data-id=\"7380189\" 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\">Types of Threat Detection Methods<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3a6e4a elementor-widget elementor-widget-text-editor\" data-id=\"d3a6e4a\" 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\">Signature-Based Detection<\/span><\/b><span data-contrast=\"auto\">: Matches activities against known attack signatures and malware definitions, effective for known threats but misses novel techniques.<\/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\">Behavioral-Based Detection<\/span><\/b><span data-contrast=\"auto\">:\u00a0Identifies\u00a0suspicious activities deviating from established baselines catching novel\u00a0attacks\u00a0signature-based methods miss.<\/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\">Heuristic Analysis<\/span><\/b><span data-contrast=\"auto\">: Evaluates suspicious code characteristics and behaviors even without matching known signatures.<\/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\">Anomaly Detection<\/span><\/b><span data-contrast=\"auto\">:\u00a0Identifies\u00a0statistical deviations from normal patterns\u00a0indicating\u00a0potential 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\">Threat Intelligence-Based Detection<\/span><\/b><span data-contrast=\"auto\">: Correlates\u00a0observed\u00a0activities with known indicators of compromise and threat actor techniques.<\/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\">Deception-Based Detection<\/span><\/b><span data-contrast=\"auto\">: Uses honeypots and decoy systems detecting attackers interacting with fake resources.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li><\/ul>\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\">Related Terms &amp; Synonyms<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-48b5cae elementor-widget elementor-widget-text-editor\" data-id=\"48b5cae\" 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\">Risk Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of potential security risks and vulnerabilities requiring mitigation.<\/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\">Breach Detection<\/span><\/b><span data-contrast=\"auto\">: Specific detection focused on\u00a0identifying\u00a0confirmed data breaches and compromises.<\/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\">Anomaly Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of unusual patterns or activities deviating from established baselines.<\/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\">Threat Monitoring<\/span><\/b><span data-contrast=\"auto\">: Continuous surveillance of networks and systems for security 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\">Threat Modelling<\/span><\/b><span data-contrast=\"auto\">: Process of\u00a0identifying\u00a0potential attack scenarios informing detection and prevention strategies.<\/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\">Malware Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of malicious software including viruses, trojans, and ransomware.<\/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\">Incident Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of security incidents requiring incident 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\">Risk Identification<\/span><\/b><span data-contrast=\"auto\">: Process\u00a0of discovering\u00a0potential security risks in systems and operations.<\/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\">Intrusion Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of unauthorized access attempts and system intrusions.<\/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\">Vulnerability Detection<\/span><\/b><span data-contrast=\"auto\">: Identification of security weaknesses in systems and applications.<\/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\">Threat Detection and Response (TDR)<\/span><\/b><span data-contrast=\"auto\">: Combined detection and response capabilities for security 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\">Network Detection and Response (NDR)<\/span><\/b><span data-contrast=\"auto\">: Detection and response focused on network traffic and communications.<\/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\">Managed Detection and Response (MDR)<\/span><\/b><span data-contrast=\"auto\">: Outsourced threat detection and response services.<\/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\">Endpoint Detection and Response (EDR)<\/span><\/b><span data-contrast=\"auto\">: Detection and response focused on endpoint devices.<\/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\">Extended Detection and Response (XDR)<\/span><\/b><span data-contrast=\"auto\">: Unified detection and response across multiple security domains.<\/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 is threat detection and response? <\/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 SCXW244990603 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW244990603 BCX0\">Threat detection and response is the integrated practice of\u00a0<\/span><span class=\"NormalTextRun SCXW244990603 BCX0\">identifying<\/span><span class=\"NormalTextRun SCXW244990603 BCX0\">\u00a0security threats through monitoring and analysis, then automatically or manually executing response actions to\u00a0<\/span><span class=\"NormalTextRun SCXW244990603 BCX0\">contain<\/span><span class=\"NormalTextRun SCXW244990603 BCX0\"> and remediate detected threats.<\/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. What is identity threat detection and response? <\/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 SCXW107048141 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW107048141 BCX0\">Identity threat detection and response (ITDR)\u00a0<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW107048141 BCX0\">focuses<\/span><span class=\"NormalTextRun SCXW107048141 BCX0\"> specifically on detecting compromised credentials, unauthorized access attempts, suspicious authentication patterns, and identity-based attacks through credential monitoring and behavioral analysis.<\/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. What is insider threat 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-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 SCXW256293467 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW256293467 BCX0\"><a href=\"https:\/\/www.netwitness.com\/cyber-glossary\/insider-threat\/\" target=\"_blank\" rel=\"noopener\">Insider threat detection<\/a>\u00a0<\/span><span class=\"NormalTextRun SCXW256293467 BCX0\">identifies<\/span><span class=\"NormalTextRun SCXW256293467 BCX0\"> employees, contractors, or authorized users misusing access to steal data, sabotage systems, or cause harm through behavioral analysis detecting unusual data access patterns, privilege escalation, or file transfers.<\/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. How does AI improve threat 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-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 SCXW197897558 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW197897558 BCX0\">AI-powered threat detection analyzes massive data volumes\u00a0<\/span><span class=\"NormalTextRun SCXW197897558 BCX0\">identifying<\/span><span class=\"NormalTextRun SCXW197897558 BCX0\"> patterns humans cannot manually detect, learns from incident data improving detection accuracy, and reduces false positives enabling analysts to focus on genuine threats.<\/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 are 4 methods of threat 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-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 SCXW215610491 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW215610491 BCX0\">Four primary methods are:<\/span><\/span><\/p><ul><li><span class=\"TextRun SCXW215610491 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW215610491 BCX0\">Signature-based detection matching known attacks.<\/span><\/span><\/li><li><span class=\"TextRun SCXW215610491 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW215610491 BCX0\">Behavioral-based detection <\/span><span class=\"NormalTextRun SCXW215610491 BCX0\">identifying<\/span><span class=\"NormalTextRun SCXW215610491 BCX0\"> deviations from normal activity.<\/span><\/span><\/li><li><span class=\"TextRun SCXW215610491 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW215610491 BCX0\">Anomaly detection finding statistical outliers.<\/span><\/span><\/li><li><span class=\"TextRun SCXW215610491 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW215610491 BCX0\">Threat intelligence-based detection correlating with known indicators of compromise.<\/span><\/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\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 threat prevention? <\/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 SCXW264692042 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264692042 BCX0\">Threat prevention encompasses proactive security measures blocking attacks before\u00a0<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW264692042 BCX0\">compromise<\/span><span class=\"NormalTextRun SCXW264692042 BCX0\">\u00a0including firewalls, access controls, and patches, complementing threat detection that\u00a0<\/span><span class=\"NormalTextRun SCXW264692042 BCX0\">identifies<\/span><span class=\"NormalTextRun SCXW264692042 BCX0\"> attacks after they occur.<\/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. How machine learning improves threat 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-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 SCXW143851291 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW143851291 BCX0\"><a href=\"https:\/\/en.wikipedia.org\/wiki\/Machine_learning\" target=\"_blank\" rel=\"noopener nofollow\">Machine learning<\/a>\u00a0<\/span><span class=\"NormalTextRun SCXW143851291 BCX0\">identifies<\/span><span class=\"NormalTextRun SCXW143851291 BCX0\"> patterns in massive datasets that humans cannot recognize, improves detection accuracy over time learning from new incidents, and reduces false positives enabling focused analyst 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-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. What are threat detection best practices? <\/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-929e245 e-con-full e-flex e-con e-child\" data-id=\"929e245\" 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-4ea6ffe e-flex e-con-boxed e-con e-child\" data-id=\"4ea6ffe\" 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-d1214f0 elementor-widget elementor-widget-text-editor\" data-id=\"d1214f0\" 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 SCXW101356352 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW101356352 BCX0\">Best practices include implementing layered detection across multiple domains, integrating threat intelligence feeds, automating response for faster containment, conducting proactive threat hunting, and continuously tuning detection rules for organizational environments.<\/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. How to build a threat detection strategy? <\/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-6178b8b e-con-full e-flex e-con e-child\" data-id=\"6178b8b\" 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-0443757 e-flex e-con-boxed e-con e-child\" data-id=\"0443757\" 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-6e4de05 elementor-widget elementor-widget-text-editor\" data-id=\"6e4de05\" 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 SCXW110124782 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW110124782 BCX0\">Build strategy by conducting threat modeling\u00a0<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">anticipating<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">likely attacks<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">, defining detection\u00a0<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">objectives<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">\u00a0and success metrics, selecting\u00a0<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">appropriate detection<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\"> tools, <\/span><span class=\"NormalTextRun SCXW110124782 BCX0\">establishing<\/span><span class=\"NormalTextRun SCXW110124782 BCX0\"> incident response procedures, and committing to continuous improvement based on incident findings.<\/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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Threat detection is the practice of identifying, recognizing, and alerting on malicious activities, security incidents, cyberattacks, and indicators of compromise across organizational networks, systems, endpoints, cloud environments, and applications in real-time or near real-time through automated technologies, behavioral analysis, threat intelligence correlation, and expert analysis that enables rapid incident response before [&hellip;]<\/p>\n","protected":false},"featured_media":17789,"template":"","class_list":["post-17787","glossary","type-glossary","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/glossary\/17787","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/types\/glossary"}],"version-history":[{"count":4,"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/glossary\/17787\/revisions"}],"predecessor-version":[{"id":17793,"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/glossary\/17787\/revisions\/17793"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/media\/17789"}],"wp:attachment":[{"href":"https:\/\/www.netwitness.com\/it\/wp-json\/wp\/v2\/media?parent=17787"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}