{"id":2090,"date":"2025-03-17T16:08:55","date_gmt":"2025-03-17T15:08:55","guid":{"rendered":"https:\/\/cyber-detect.com\/les-innovations\/"},"modified":"2026-08-12T09:48:05","modified_gmt":"2026-08-12T07:48:05","slug":"innovations","status":"publish","type":"page","link":"https:\/\/www.cyber-detect.com\/en\/innovations\/","title":{"rendered":"INNOVATIONS"},"content":{"rendered":"
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EN QUOI SOMMES NOUS INNOVANTS<\/h2>\n<\/div><\/div><\/div>\n\n
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Threat characterization and attribution<\/p>\n <\/div>\n\n \n \n \n

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Next-generation detection before detonation<\/p>\n <\/div>\n\n \n \n \n

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Sub-second detection time<\/p>\n <\/div>\n\n \n \n \n

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Integrates with your existing solutions via API<\/p>\n <\/div>\n\n \n \n<\/div>\n\n

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The advantages of our technology<\/h2>\n<\/div><\/div><\/div>\n\n
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  • Nommage<\/strong> et attribution<\/strong> de la famille de malware<\/li>\n<\/div><\/div><\/div>\n\n
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  • R\u00e9sistant aux protections<\/strong><\/li>\n<\/div><\/div><\/div>\n\n
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  • R\u00e9sistant aux variants : <\/strong>analyse morphologique non-bas\u00e9e sur les signatures<\/li>\n<\/div><\/div><\/div>\n\n
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  • Explicabilit\u00e9<\/strong> des r\u00e9sultats<\/li>\n<\/div><\/div><\/div><\/ul>\n<\/div><\/div><\/div><\/div>\n\n\n\n
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    • % de corr\u00e9lation <\/strong>avec les menaces existantes<\/li>\n<\/div><\/div><\/div>\n\n
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    • Compatible<\/strong> avec les syst\u00e8mes de d\u00e9fense du march\u00e9<\/li>\n<\/div><\/div><\/div>\n\n
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    • Repr\u00e9sentation 3D<\/strong> de la menace<\/li>\n<\/div><\/div><\/div>\n\n
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    • Pionniers de l\u2019analyse dynamique depuis la cr\u00e9ation<\/li>\n<\/div><\/div><\/div><\/ul>\n<\/div><\/div><\/div><\/div>\n<\/div>\n<\/div><\/div><\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>
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      Morphological analysis at the heart of enterprise cybersecurity<\/h2>\n<\/div><\/div><\/div>\n\n
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      Traditional malware detection engines most often rely on signature-based recognition techniques, such as YARA rules.<\/p>\n<\/div><\/div><\/div>\n\n

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      This is no longer enough today, as malware can now modify itself quickly and easily, breaking the signatures used to detect it. <\/p>\n<\/div><\/div><\/div>\n\n

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      To address this cybersecurity gap, we developed a unique technique: morphological analysis.<\/p>\n<\/div><\/div><\/div>\n\n

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      Our solution performs static and dynamic analysis of applications’ binary code<\/strong> to ensure enterprise cybersecurity<\/strong>.<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div>

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      How morphological analysis works<\/h3>\n<\/div><\/div><\/div>\n\n
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      Morphological analysis characterizes the malicious behaviors it detects. This capability strengthens enterprise cybersecurity by identifying increasingly sophisticated, unknown, or obfuscated attacks.<\/p>\n<\/div><\/div><\/div>\n\n

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      Morphological analysis combines artificial intelligence \u2014 which assimilates new threats and functions \u2014 with reverse-engineering techniques essential to disassembly and de-obfuscation.<\/p>\n<\/div><\/div><\/div>\n\n

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      This innovation, also paired with formal methods tools, delivers unmatched precision on executables without requiring a training phase.<\/p>\n<\/div><\/div><\/div>\n\n

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      How do we detect new variants?<\/h3>\n<\/div><\/div><\/div>\n\n
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      Morphological analysis disassembles and analyzes binary code through a control flow graph. By performing dynamic analysis, we are able to apply transformations, reductions, and segmentation to the binary in order to determine its nature. This allows us to estimate its percentage of similarity with already-detected malware and identify its variants.<\/p>\n<\/div><\/div><\/div><\/div>

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      Our handling of packed files<\/h2>\n<\/div><\/div><\/div>
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      <\/div>\n<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

      EN QUOI SOMMES NOUS INNOVANTS The advantages of our technology Morphological analysis at the heart of enterprise cybersecurity Traditional malware detection engines most often rely on signature-based recognition techniques, such as YARA rules. This is no longer enough today, as malware can now modify itself quickly and easily, breaking the signatures used to detect it. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2090","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nINNOVATIONS - Cyber-Detect<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cyber-detect.com\/en\/innovations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"INNOVATIONS - Cyber-Detect\" \/>\n<meta property=\"og:description\" content=\"EN QUOI SOMMES NOUS INNOVANTS The advantages of our technology Morphological analysis at the heart of enterprise cybersecurity Traditional malware detection engines most often rely on signature-based recognition techniques, such as YARA rules. This is no longer enough today, as malware can now modify itself quickly and easily, breaking the signatures used to detect it. 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