Translating Cyber Threat Intelligence into Strategic Business Insights for Decision-Makers

Translating Cyber Threat Intelligence into Strategic Business Insights for Decision-Makers | 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 Research Article Translating Cyber Threat Intelligence into Strategic Business Insights for Decision-Makers Ben Phillip This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8694947/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In an era of pervasive cyber risk, Cyber Threat Intelligence (CTI) has become a critical, yet often underutilized, asset for executive decision-making. A persistent gap exists between the technical, tactical output of security teams and the strategic, business-relevant insights required by C-suite executives and boards of directors. This disconnect leads to misaligned priorities, inefficient resource allocation, and a reactive security posture. This research investigates a structured methodology for translating raw CTI into strategic business insights (SBIs) that directly inform enterprise risk management, investment decisions, and competitive strategy. Through a multi-phase, mixed-methods study involving interviews with 35 senior leaders (CISOs, CFOs, CEOs, Board Members) and analysis of CTI processes across 12 organizations, we identified five core translation failures and developed the Threat Intelligence to Business Insight (TI2BI) Framework . The TI2BI framework employs a multi-layered translation process involving Contextualization, Impact Valuation, and Scenario Modeling to convert Indicators of Compromise (IoCs) and Tactics, Techniques, and Procedures (TTPs) into narratives about financial exposure, brand impact, operational disruption, and strategic opportunity. A six-month pilot implementation of the framework at a Fortune 500 financial services firm demonstrated a 70% increase in executive engagement with CTI reports and a 40% improvement in the alignment of cybersecurity investments with top-tier business risks. This study provides a validated model for security leaders to elevate CTI from a technical feed to a cornerstone of enterprise strategic planning, enabling proactive, business-informed cyber defense. Theoretical Computer Science Computer Architecture and Engineering Cyber Threat Intelligence (CTI) Strategic Business Insights Executive Decision-Making Cyber Risk Communication Business Impact Analysis TI2BI Framework Cybersecurity Governance Board-Level Reporting. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8694947","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":580171124,"identity":"ff074bbe-bad3-4879-a354-4f69ba050392","order_by":0,"name":"Ben Phillip","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+0lEQVRIiWNgGAWjYBACAyBmZjCwkGFjYD5w+EcFiMvcQIwWCR42BrbEwwxnQFxGYrQwSPAwMPAYH2ZsA4kR0GLO3nvscUGBBA+fdFvC4cJ5tdH87UAtPyq24dRi2XMu3XgGyGEyhw8cnrnteO6Mw4wNjD1nbuN22I0cM2kekBaJtIQDvNuO5TYAtTAztuHRcv8NTEuOwQHeOcdy5xPUcoMHoeUwb0NN7gZCWix7csyNwVpkjiUcnHHsQO5GoJaD+Pxizn7G7DHPHxs5+dnNhz98qKnLnXf+8MEHPypwawECNgglASYPg8kD+NSja6kjoHgUjIJRMApGIgAA2k5XBJwyP70AAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0000-5133-093X","institution":"IEEE Computer Society: Washington, District of Columbia, US","correspondingAuthor":true,"prefix":"","firstName":"Ben","middleName":"","lastName":"Phillip","suffix":""}],"badges":[],"createdAt":"2026-01-25 21:37:04","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-8694947/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8694947/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101181372,"identity":"8a261ad2-e57b-4515-8a6b-aab64c18f26c","added_by":"auto","created_at":"2026-01-27 04:14:07","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":280386,"visible":true,"origin":"","legend":"","description":"","filename":"MK6.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8694947/v1_covered_5df16039-f637-4809-aae5-11ece362b748.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eTranslating Cyber Threat Intelligence into Strategic Business Insights for Decision-Makers\u003c/strong\u003e\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"EEE Computer Society: Washington, District of Columbia, US","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Cyber Threat Intelligence (CTI), Strategic Business Insights, Executive Decision-Making, Cyber Risk Communication, Business Impact Analysis, TI2BI Framework, Cybersecurity Governance, Board-Level Reporting.","lastPublishedDoi":"10.21203/rs.3.rs-8694947/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8694947/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn an era of pervasive cyber risk, Cyber Threat Intelligence (CTI) has become a critical, yet often underutilized, asset for executive decision-making. A persistent gap exists between the technical, tactical output of security teams and the strategic, business-relevant insights required by C-suite executives and boards of directors. This disconnect leads to misaligned priorities, inefficient resource allocation, and a reactive security posture. This research investigates a structured methodology for \u003cstrong\u003etranslating raw CTI into strategic business insights (SBIs)\u003c/strong\u003e that directly inform enterprise risk management, investment decisions, and competitive strategy. Through a multi-phase, mixed-methods study involving interviews with 35 senior leaders (CISOs, CFOs, CEOs, Board Members) and analysis of CTI processes across 12 organizations, we identified five core translation failures and developed the \u003cstrong\u003eThreat Intelligence to Business Insight (TI2BI) Framework\u003c/strong\u003e. The TI2BI framework employs a multi-layered translation process involving \u003cstrong\u003eContextualization, Impact Valuation, and Scenario Modeling\u003c/strong\u003e to convert Indicators of Compromise (IoCs) and Tactics, Techniques, and Procedures (TTPs) into narratives about financial exposure, brand impact, operational disruption, and strategic opportunity. A six-month pilot implementation of the framework at a Fortune 500 financial services firm demonstrated a 70% increase in executive engagement with CTI reports and a 40% improvement in the alignment of cybersecurity investments with top-tier business risks. This study provides a validated model for security leaders to elevate CTI from a technical feed to a cornerstone of enterprise strategic planning, enabling proactive, business-informed cyber defense.\u003c/p\u003e","manuscriptTitle":"Translating Cyber Threat Intelligence into Strategic Business Insights for Decision-Makers","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-27 04:14:01","doi":"10.21203/rs.3.rs-8694947/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"689754bb-99b7-4c3d-b2de-04e5ac2b8485","owner":[],"postedDate":"January 27th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":61722521,"name":"Theoretical Computer Science"},{"id":61722522,"name":"Computer Architecture and Engineering"}],"tags":[],"updatedAt":"2026-01-27T04:14:01+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-27 04:14:01","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8694947","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8694947","identity":"rs-8694947","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}