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Journals / Sakarya University Journal of Computer and Information Sciences / 2026 / Volume: 8 Issue: 3

AI-Powered Vulnerability Detection and Adaptive Defense Strategies in Cybersecurity

Şahin Kara(SAKARYA UNIVERSITY OF APPLIED SCIENCES)0000-0001-8736-2730
Fatih İlkbahar(DÜZCE ÜNİVERSİTESİ)0000-0002-7964-3433
Muhammed Zekeriya Gündüz(BİNGÖL ÜNİVERSİTESİ, BİNGÖL TEKNİK BİLİMLER MESLEK YÜKSEKOKULU)0000-0003-4278-7123
Pages
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Publication Date
2025-09-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, the paper will explore the future of AI in cybersecurity and potential directions for further enhancement.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Cybersecurity threats are becoming increasingly complex and sophisticated.
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Key Findings & Data:Furthermore, AI’s ability to classify threats and respond in real time gives security professionals a strategic edge.
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Conclusion & Impact:Finally, the paper will explore the future of AI in cybersecurity and potential directions for further enhancement.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Cyber Security · Cyber-attack Experiments · Artificial Intelligence in Cybersecurity

Abstract

Cybersecurity 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.

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Cite This Article

Kara, Ş., İlkbahar, F., Gündüz, M. Z. (2025). AI-Powered Vulnerability Detection and Adaptive Defense Strategies in Cybersecurity. Sakarya University Journal of Computer and Information Sciences, Volume: 8 Issue: 3. https://doi.org/10.35377/saucis.8.94717.1711704

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