Tarek Kanan

Papers

Total Citations

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About

Dr. Tarek Kanan is a leading researcher at the intersection of artificial intelligence and cybersecurity, with a particular focus on vulnerability management and threat detection. His most-cited work, "Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management" (2023, 14 citations), provides a comprehensive framework for leveraging AI and ML to address the growing complexity of cyber-attacks. In this influential paper, Kanan systematically evaluates how machine learning algorithms can automate the identification, classification, and prioritization of security vulnerabilities—a critical advancement for organizations facing increasingly sophisticated threats. His research demonstrates that AI-driven approaches can significantly reduce response times and improve accuracy compared to traditional methods. Beyond this flagship work, Kanan's broader contributions explore the practical deployment of intelligent systems in real-world security environments, bridging the gap between theoretical machine learning models and operational cybersecurity needs. His scholarship is particularly valuable for practitioners seeking to implement AI-based solutions in enterprise settings, and his findings continue to inform both academic research and industry best practices in vulnerability management.