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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

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

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  • 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
DOI url: https://doi.org/10.30574/ijsra.2024.13.2.2583

Received on 13 November 2024; revised on 22 December 2024; accepted on 24 December 2024

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. 

Zero Trust; AI Integration; Threat Detection; Response Time; Cybersecurity Framework; Data Privacy

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-2583.pdf

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Ebuka Mmaduekwe Paul, Ugochukwu Mmaduekwe, Joseph Darko Kessie and Mukhtar Dolapo Salawudeen. Zero trust architecture and AI: A synergistic approach to next-generation cybersecurity frameworks. International Journal of Science and Research Archive, 2024, 13(02), 4159-4169. https://doi.org/10.30574/ijsra.2024.13.2.2583

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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