A Systematic Literature Review: AI, DL and Machine Learning inCyber Risk Management

A Systematic Literature Review: AI, DL and Machine Learning inCyber Risk Management | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report A Systematic Literature Review: AI, DL and Machine Learning inCyber Risk Management Ishrag Hamid, MM Hafizur Rahman This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4152375/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 May, 2025 Read the published version in Discover Sustainability → Version 1 posted 16 You are reading this latest preprint version Abstract The integration of AI and ML in both climate change and cyber risk management has significantly bolstered their effectiveness. These advanced technologies enable organizations to handle extensive datasets, whether related to climate patterns or cyber activities, with greater efficiency and making more informed decisions. AI and machine learning are utilized in cyber security to predict potential threats, automate tasks, and manage cyber security risks. Ensuring the accuracy of information, comprehending the functionality of the model, and safeguarding individuals' data pose challenges. It is very important to use personal information ethically and protect it. Researchers should prioritize accuracy in the information utilized, clarity in AI models, and fairness in AI decision-making in the future. New technologies like edge computing, federated learning, explainable AI, and quantum computing are changing the way we manage risk and keep our digital information safe. These new advancements provide opportunities to gain a better understanding of risks, identify threats more rapidly, and improve decision-making. Still, there are challenges concerning data accuracy, understanding model operations, and privacy issues that must be resolved before these technologies can effectively address cyber risks. Artificial Intelligence Machine Learning Risk Management climate change consequences Threat Detection Ethical Use Privacy Concerns challenges in risk management implications Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 10 May, 2025 Read the published version in Discover Sustainability → Version 1 posted Reviews received at journal 28 Jul, 2024 Reviews received at journal 28 Jul, 2024 Reviews received at journal 26 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 21 Jul, 2024 Reviewers agreed at journal 19 Jul, 2024 Reviews received at journal 20 May, 2024 Reviewers agreed at journal 14 May, 2024 Reviewers agreed at journal 10 May, 2024 Reviewers agreed at journal 08 May, 2024 Reviewers invited by journal 08 May, 2024 Editor assigned by journal 29 Apr, 2024 Submission checks completed at journal 29 Apr, 2024 First submitted to journal 22 Mar, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4152375","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":298704325,"identity":"e6916de4-9b17-4a6c-915f-5eb8748ab84a","order_by":0,"name":"Ishrag Hamid","email":"data:image/png;base64,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","orcid":"","institution":"King Faisal University","correspondingAuthor":true,"prefix":"","firstName":"Ishrag","middleName":"","lastName":"Hamid","suffix":""},{"id":298704327,"identity":"bfac3b47-4ea5-422d-b7e1-bc48399142b3","order_by":1,"name":"MM Hafizur Rahman","email":"","orcid":"","institution":"King Faisal University","correspondingAuthor":false,"prefix":"","firstName":"MM","middleName":"Hafizur","lastName":"Rahman","suffix":""}],"badges":[],"createdAt":"2024-03-23 01:45:39","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4152375/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4152375/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s43621-025-01012-3","type":"published","date":"2025-05-10T15:57:45+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":82537577,"identity":"55ff30a1-181b-4956-a41c-cf3e12b8dbdf","added_by":"auto","created_at":"2025-05-12 16:08:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":542361,"visible":true,"origin":"","legend":"","description":"","filename":"ArticleTitle264.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4152375/v1_covered_c934faab-d142-4743-bc29-55f2bb635368.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Systematic Literature Review: AI, DL and Machine Learning inCyber Risk Management","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-sustainability","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"disu","sideBox":"Learn more about [Discover Sustainability](https://www.springer.com/43621)","snPcode":"","submissionUrl":"","title":"Discover Sustainability","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Artificial Intelligence, Machine Learning, Risk Management, climate change consequences, Threat Detection, Ethical Use, Privacy Concerns, challenges in risk management, implications","lastPublishedDoi":"10.21203/rs.3.rs-4152375/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4152375/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The integration of AI and ML in both climate change and cyber risk management has significantly bolstered their effectiveness. 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