The role of Artificial Intelligence in enhancing cybersecurity: A comprehensive review of threat detection, response, and prevention techniques

Chigozie Kingsley Ejeofobiri 1, Adedoyin Adetumininu Fadare 2, *, Olalekan Olorunfemi Fagbo 3, Valerie Ojinika Ejiofor 4 and Adetutu Temitope Fabusoro 5

1 Information Security and Digital Forensics, University of East London, England, UK.
2 LLM Privacy and Cybersecurity, University of Southern California, USA.
3 Information and Communication Sciences, Ball State University, Muncie, IN, USA.
4 Cybersecurity, The University of Tampa, Florida, USA.
5 Education Policy Organization and Leadership, University of Illinois, Urbana Champaign, USA.
 
Review
International Journal of Science and Research Archive, 2024, 13(02), 310–316.
Article DOI: 10.30574/ijsra.2024.13.2.2161
Publication history: 
Received on 25 September 2024; revised on 04 November 2024; accepted on 06 November 2024
 
Abstract: 
As cyber threats continue to grow in scale and sophistication, traditional cybersecurity solutions have become increasingly insufficient to mitigate evolving risks. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing cybersecurity by improving threat detection, automating response mechanisms, and preventing attacks before they occur. This review explores the intersection of AI and cybersecurity, focusing on AI-driven techniques in threat detection, automated response systems, and preventive measures. Furthermore, the paper discusses the challenges of deploying AI in cybersecurity, including adversarial attacks and ethical considerations, and provides future directions for research.
 
Keywords: 
Cybersecurity; Artificial Intelligence; Threat Detection; Machine Learning; Deep Learning
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0