Zero trust architecture and AI: A synergistic approach to next-generation cybersecurity frameworks

Ebuka Mmaduekwe Paul 1, *, Ugochukwu Mmaduekwe 2, Joseph Darko Kessie 3 and Mukhtar Dolapo Salawudeen 4

1 Department of Information and communication science, Ball state university, Muncie Indiana USA.
2 Stanley, Mechanical Engineering, University of Nigeria Nsukka Nigeria.
3 Department of Cybersecurity, Eastern Illinois University, Charleston, Illinois, United States.
4 IA Technology Risk and Cybersecurity, Goldman Sachs, New York, USA.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(02), 4159-4169.
Article DOI: 10.30574/ijsra.2024.13.2.2583
Publication history: 
Received on 13 November 2024; revised on 22 December 2024; accepted on 24 December 2024
 
Abstract: 
The cybersecurity domain sees radical changes through the combination of Zero Trust Architecture (ZTA) with Artificial Intelligence (AI). All-access requests, including internal and external ones, fall under ZTA's fundamental "never trust, always verify" policy for thorough verification procedures. The advanced abilities of AI allow it to detect anomalies, forecast threats, and execute automated decisions to respond to cyber threats in real-time. Modern security frameworks receive enhanced protection through these technologies, which provide dynamic threat adaptation capabilities and improved response time and accuracy. The integrated approach between these systems produces enhanced cybersecurity performances that enhance vulnerability detection and produce predictive defense capabilities. Enhanced security infrastructure depends increasingly on ZTA and AI combined solutions to combat advanced evolving cyber threats. 
 
Keywords: 
Zero Trust; AI Integration; Threat Detection; Response Time; Cybersecurity Framework; Data Privacy
 
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This paper has received BEST PAPER AWARD of Volume 13 - Issue 2 (November - December 2024).

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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