AI-Powered Vulnerability Detection and Adaptive Defense Strategies in Cybersecurity

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dc.contributor.authorKara, Şahin
dc.contributor.authorİlkbahar, Fatih
dc.contributor.authorGündüz, Muhammed Zekeriya
dc.date.accessioned2026-07-01T11:36:31Z
dc.date.available2026-07-01T11:36:31Z
dc.date.issued2025
dc.departmentDüzce Üniversitesi
dc.description.abstractCybersecurity threats are becoming increasingly complex and sophisticated. These challenges highlight the growing need for organizations and individuals to safeguard their digital assets. In this context, artificial intelligence (AI) technologies offer substantial capabilities to detect and mitigate cybersecurity vulnerabilities. AI enables effective protection by performing deep analyses on large datasets to identify abnormal activities and predict potential threats. By transforming traditional security paradigms, AI contributes to faster and more adaptive responses against cyberattacks. Furthermore, AI’s ability to classify threats and respond in real time gives security professionals a strategic edge. In the following sections, the role of AI in identifying and addressing cybersecurity vulnerabilities will be examined in detail, supported by current real-world applications. Finally, the paper will explore the future of AI in cybersecurity and potential directions for further enhancement. © 2025, Sakarya University. All rights reserved.
dc.identifier.dergipark1711704
dc.identifier.doi10.35377/saucis...1711704
dc.identifier.endpage552
dc.identifier.issn2636-8129
dc.identifier.issue3
dc.identifier.scopus2-s2.0-105018192787
dc.identifier.scopusqualityQ3
dc.identifier.startpage536
dc.identifier.trdizinid1347434
dc.identifier.urihttps://doi.org/10.35377/saucis...1711704
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1347434
dc.identifier.urihttps://hdl.handle.net/20.500.12684/23097
dc.identifier.volume8
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherSakarya University
dc.relation.ispartofSakarya University Journal of Computer and Information Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260623
dc.subjectArtificial Intelligence in Cybersecurity
dc.subjectCyber Security
dc.subjectCyber-attack Experiments
dc.subjectMachine learning
dc.subjectRandom Forest
dc.titleAI-Powered Vulnerability Detection and Adaptive Defense Strategies in Cybersecurity
dc.typeArticle

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