@article{article_1711704, title={AI-Powered Vulnerability Detection and Adaptive Defense Strategies in Cybersecurity}, journal={Sakarya University Journal of Computer and Information Sciences}, volume={8}, pages={536–552}, year={2025}, DOI={10.35377/saucis.8.94717.1711704}, url={https://izlik.org/JA87SH49CE}, author={Kara, Şahin and İlkbahar, Fatih and Gündüz, Muhammed Zekeriya}, keywords={Cyber Security, Cyber-attack Experiments, Artificial Intelligence in Cybersecurity, Machine learning, Random Forest.}, 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.}, number={3}