Exploring the nature of generative artificial intelligence in evolving cyber threats
Department of Information Technology, University of the Cumberlands, Kentucky, U.S.A.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(02), 914–917.
Article DOI: 10.30574/wjaets.2024.12.2.0364
Publication history:
Received on 17 July 2024; revised on 26 August 2024; accepted on 29 August 2024
Abstract:
The rapid advancement of Generative Artificial Intelligence (GenAI) has significantly impacted cybersecurity, presenting both opportunities and challenges. This study explores the evolving nature of cyber threats facilitated by GenAI, focusing on its dual role in enhancing security measures and creating sophisticated attack vectors. Through a comprehensive literature review, analyses were made on previous research focused on the applications of GenAI in cybersecurity, examining its potential to detect, prevent, and respond to threats and its vulnerabilities to exploitation by malicious actors. Utilizing qualitative research methodology, this study gathers insight from peer-reviewed articles, case studies, and expert interviews to reveal the implications of GenAI in the cybersecurity landscape. The findings reveal the complex interplay between GenAI's protective and adversarial capabilities, highlighting the need for continuous innovation and robust strategies to mitigate associated risks. The study concludes by positioning these insights within the broader context of cybersecurity and proposing directions for future research to address emerging challenges.
Keywords:
Generative Artificial Intelligence; Cybersecurity; Evolving Cyber Threats; Adversarial AI; Threat Detection; Machine 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