{"id":4105,"date":"2025-06-25T03:05:43","date_gmt":"2025-06-25T03:05:43","guid":{"rendered":"https:\/\/indexengines.com\/?post_type=whitepaper&#038;p=4105"},"modified":"2025-06-25T12:53:49","modified_gmt":"2025-06-25T12:53:49","slug":"an-inside-look-at-the-patented-process-used-by-index-engines-cybersense-research-lab","status":"publish","type":"whitepaper","link":"https:\/\/indexengines.com\/ne\/resources\/whitepaper\/an-inside-look-at-the-patented-process-used-by-index-engines-cybersense-research-lab\/","title":{"rendered":"An Inside Look at the Patented Process Used By Index Engines&#8217; CyberSense Research Lab"},"content":{"rendered":"<p data-pm-slice=\"1 1 []\">&#8220;Index Engines has decades of experience in machine learning and artificial intelligence applied to its workflow, which is a specific process to build, train, and validate ML models to detect data corruption. The CyberSense Research Lab collects and detonates real ransomware to validate and fine-tune the model, along with millions of customer data samples. Index Engines has demonstrated meticulous engineering behind its process to build the highly effective AI\/ML engine.<\/p>\n<p>Futuriom believes it\u2019s the most thorough engine for detecting data corruption from ransomware in the world, with special care given to data training and validation for training.&#8221;<\/p>","protected":false},"featured_media":4106,"parent":0,"template":"","meta":{"_acf_changed":false,"_links_to":"","_links_to_target":""},"whitepaper-category":[28],"class_list":["post-4105","whitepaper","type-whitepaper","status-publish","has-post-thumbnail","hentry","whitepaper-category-research-brief"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Inside Index Engines\u2019 Cybersense Research Lab With Futuriom<\/title>\n<meta name=\"description\" content=\"At the CyberSense Research Lab, Index Engines detonates real ransomware to rigorously train and validate our AI\/ML models\u2014ensuring unmatched detection accuracy. 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