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A Comprehensive Review of Large Language Models and AI in Cybersecurity: Applications in Threat Detection, Defense, and Software Security

by Hasnat Mustafa, Akil Uddin Soykat, Radowanur Rahman, and Md. Badiuzzaman Biplob

Posted: July 15, 2025
Server: Preprints.org
DOI: 10.20944/preprints202507.1159.v1

Large Language Models (LLMs) and Artificial Intelligence (AI) technologies have transformed the landscape of cybersecurity by altering how organizations tackle software security, protective measures, and threat identification. This analysis thoroughly reviews the current state of AI-driven cybersecurity solutions, emphasizing the use of LLMs in various domains such as automated response systems, intrusion detection, and vulnerability assessment. The report provides an in-depth evaluation of AI-based defenses against Distributed Denial of Service (DDoS) attacks, considering both the advantages and disadvantages of these technologies. In the swiftly evolving domain of AI-enhanced cybersecurity, this study underscores significant trends, challenges, and opportunities through a methodical assessment of recent developments and empirical studies. Keywords: Large Language Models, Artificial Intelligence, Cybersecurity, Threat Detection, DDoS Attacks, Machine Learning, Network Security.

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