ISSN: 2582-8266 (Online) || ISSN Approved Journal || Google Scholar Indexed || Impact Factor: 9.48 || Crossref DOI
Adaptive zero trust with AI and Automation
Independent Publisher, USA.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(02), 751-763.
Article DOI: 10.30574/wjaets.2024.13.2.0589
Publication history:
Received on 21 October 2024; revised on 25 December 2024; accepted on 28 December 2024
Abstract:
Traditional network security approaches built from perimeter-based defenses become increasingly useless because of rapidly accelerating cyber threat patterns. Modern distributed workforce operations, cloud computing infrastructure, and complex IT requirements require organizations to embrace more dynamic security frameworks. A Zero Trust Architecture framework that adapts by using Artificial Intelligence and automation practices presents astute defense solutions against these security challenges. The continuous verification of users' devices and transactions through real-time risk assessments enables AI-powered ZTA to let authenticated entities reach protected resources. Research reveals how AI alignment and automation benefit ZTA in detecting threats ahead of time while performing automated policy execution and adapting security measures to new threats. The paper evaluates ZTA security improvement techniques coupled with a real-world application assessment based on a thorough case study examination that determines the effectiveness of combining AI technology and automation mechanisms. Research results demonstrate that combining these methods strengthens protection measures while minimizing misidentified threats and supporting network growth. The discussion ends with research guidelines and enterprise deployment suggestions for this topic.
Keywords:
Zero Trust; Artificial Intelligence; Adaptive Security; Threat Detection; Policy Automation; Cloud Infrastructure
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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