{"id":9582,"date":"2024-10-01T08:34:22","date_gmt":"2024-10-01T06:34:22","guid":{"rendered":"https:\/\/bluebridge.lt\/?post_type=es-parama-vidinis&#038;p=9582"},"modified":"2024-10-04T13:05:06","modified_gmt":"2024-10-04T11:05:06","slug":"blue-bridge-msp-has-launched-a-research-and-experimental-development-project-to-develop-a-cybersecurity-knowledge-graph-based-on-innovative-data-analytics-methods-to-detect-malicious-behaviour","status":"publish","type":"es-parama-vidinis","link":"https:\/\/bluebridge.lt\/en\/eu-support\/blue-bridge-msp-has-launched-a-research-and-experimental-development-project-to-develop-a-cybersecurity-knowledge-graph-based-on-innovative-data-analytics-methods-to-detect-malicious-behaviour\/","title":{"rendered":"Blue Bridge MSP has launched a research and experimental development project to develop a cybersecurity knowledge graph based on innovative data analytics methods to detect malicious behaviour"},"content":{"rendered":"<section class=\"l-section wpb_row height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_grid cols_1 laptops-cols_inherit tablets-cols_inherit mobiles-cols_1 valign_top type_default stacking_default\"><div class=\"wpb_column vc_column_container\"><div class=\"vc_column-inner\"><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row us_custom_95d6d7fa height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_grid cols_1 laptops-cols_inherit tablets-cols_inherit mobiles-cols_1 valign_top type_default stacking_default\"><div class=\"wpb_column vc_column_container us_custom_2eedfc43\"><div class=\"vc_column-inner\"><div class=\"g-cols wpb_row via_grid cols_1-2 laptops-cols_inherit tablets-cols_inherit mobiles-cols_1 valign_middle type_default reversed stacking_default\" style=\"--columns-gap:3rem;\"><div class=\"wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"w-image us_custom_bc53ee83 align_none\"><div class=\"w-image-h\"><img decoding=\"async\" width=\"1024\" height=\"228\" src=\"https:\/\/bluebridge.lt\/wp-content\/uploads\/EN_Co-fundedbytheEU_RGB_POS-1024x228.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/bluebridge.lt\/wp-content\/uploads\/EN_Co-fundedbytheEU_RGB_POS-1024x228.png 1024w, https:\/\/bluebridge.lt\/wp-content\/uploads\/EN_Co-fundedbytheEU_RGB_POS-300x67.png 300w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/div><\/div><\/div><\/div><div class=\"wpb_column vc_column_container\"><div class=\"vc_column-inner\"><h4 class=\"w-post-elm post_title us_custom_715e6aab entry-title color_link_inherit\">Blue Bridge MSP has launched a research and experimental development project to develop a cybersecurity knowledge graph based on innovative data analytics methods to detect malicious behaviour<\/h4><\/div><\/div><\/div><div class=\"w-separator size_custom\" style=\"height:2.1rem\" id=\"h4bf\"><style>@media(max-width:600px){ #h4bf{height:1rem!important}}<\/style><\/div><div class=\"wpb_text_column us_custom_3ebdeada\"><div class=\"wpb_wrapper\"><p>On 9 August 2024, Blue Bridge MSP signed a funding agreement with the Innovation Agency for the implementation of the project &#8220;Development of a Cyber Security Knowledge Graph for Behavioural Analysis&#8221;.<\/p>\n<p>The project will develop an advanced cybersecurity knowledge graph that will integrate heterogeneous cybersecurity data from different sources into a holistic real-time cybersecurity context. The graph will have advanced context discovery and mapping capabilities. The structure of the knowledge graph will be adapted to model the behaviour of cybersecurity agents by incorporating event and time concepts. The project will apply innovative knowledge graph construction and behavioural analysis techniques to effectively detect malicious activity.<\/p>\n<p>The results of this project will contribute to the improvement of the services of the company&#8217;s security operations centre and will enable the market to offer a product that:<\/p>\n<p>Provide a comprehensive view of the cybersecurity environment;<br \/>\nautomate the detection of malicious behaviour;<br \/>\naccelerate security event analysis and threat response processes.<br \/>\nThe project is carried out with partner Klaip\u0117da University. The planned duration of the project is 24 months.<\/p>\n<p>Source of funding &#8211; Co-funded by the European Union.<\/p>\n<p>The project budget is EUR 1 535 057,93 and the allocated funding is EUR 866 628,85.<\/p>\n<p>Information on the company&#8217;s activities, contact details:<\/p>\n<p>Oksana Sruogien\u0117<\/p>\n<p>Director of Business Innovation<\/p>\n<p>oksana.sruogiene@bluebridge.lt<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"featured_media":9647,"template":"","class_list":["post-9582","es-parama-vidinis","type-es-parama-vidinis","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Blue Bridge MSP has launched a research and experimental development project to develop a cybersecurity knowledge graph based on innovative data analytics methods to detect malicious behaviour | 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