Abstract
In today's dynamic cybersecurity landscape, Security Operations Centers (SOCs) play a critical role in defending against evolving threats. Traditional methods struggle to keep pace, prompting the adoption of Artificial Intelligence (AI) and Machine Learning (ML) to bolster threat detection capabilities. This study explores the impact of AI and ML on modern SOC operations, highlighting benefits, real-life use cases, and implementation strategies.
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Transforming SOC Operations: Harnessing the Power of AI and ML for Enhanced Threat Detection | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 3 April 2025 V1 Latest version Share on Transforming SOC Operations: Harnessing the Power of AI and ML for Enhanced Threat Detection Author : Anwar Mohammed 0009-0009-9991-5166 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.174371559.98727503/v1 Published SSRN Electronic Journal Version of record Peer review timeline 219 views 61 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In today's dynamic cybersecurity landscape, Security Operations Centers (SOCs) play a critical role in defending against evolving threats. Traditional methods struggle to keep pace, prompting the adoption of Artificial Intelligence (AI) and Machine Learning (ML) to bolster threat detection capabilities. This study explores the impact of AI and ML on modern SOC operations, highlighting benefits, real-life use cases, and implementation strategies. Supplementary Material File (transforming-soc-operations-harnessing-the-power-of-ai-and-ml-for-enhanced-threat-detection.pdf) Download 106.73 KB Information & Authors Information Version history V1 Version 1 03 April 2025 Peer review timeline Published SSRN Electronic Journal Version of Record 1 Jan 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords artificial intelligence machine learning security operations centers socs threat detection Authors Affiliations Anwar Mohammed 0009-0009-9991-5166 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 219 views 61 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Anwar Mohammed. Transforming SOC Operations: Harnessing the Power of AI and ML for Enhanced Threat Detection. Authorea . 03 April 2025. 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Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); Cited by Tetiana Savchenko, Lidiia Vlasenko, Mykhailo Pilat, SYSTEMS ANALYSIS OF CYBERATTACK DYNAMICS AND PENETRATION TESTING PROCESSES USING A MULTILAYER RISK MODEL AND GRAPH-BASED STRUCTURES, Cybersecurity: Education, Science, Technique, 3 , 31, (679-697), (2025). https://doi.org/10.28925/2663-4023.2025.31.1056 Crossref Loading... View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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