AI-driven malware: The next cybersecurity crisis

Swapnil Chawande *

Independent Publisher, USA.
 
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 542-554.
Article DOI: 10.30574/wjaets.2024.12.1.0172
Publication history: 
Received on 18 April 2024; revised on 24 June 2024; accepted on 27 June 2024
 
Abstract: 
Artificial Intelligence (AI) continues to evolve rapidly, which results in better cybersecurity practices and introduces difficult problems to solve. AI-driven Malware is a major security threat because its recent growth threatens digital infrastructures worldwide. This research investigates AI-driven malware characteristics through analysis of autonomous Malware using machine learning algorithms with other artificial intelligence strategies, which enable it to bypass conventional security measures while adapting to shifting environments to exploit system weaknesses specifically. The research analyzes malware sophistication via example assessments as it evolves to learn enemy tactics, thus enabling extensive network disruption. The research methodology consists of assessing recent cyberattacks alongside malware trait analysis and existing defense system assessments. Data shows that AI-driven malware threatens organizations to a great extent because traditional protective measures cannot match its evolving nature. Finally, the paper suggests fortifying security systems and tactics to predict upcoming AI-based security risks. Research plays a vital role by explaining AI-based security effects on cybersecurity along with the creation of new defense mechanisms against potential dangers.
 
Keywords: 
AI Malware; Cybersecurity Threats; Machine Learning; Malware Detection; Security Systems; Defense Strategies
 
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Copyright information: 
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