AI-Driven Enterprise Architecture Integrating Zero-Trust Security for Secure Scalable and Compliant Cloud-Native Platforms
Abstract
The rapid adoption of cloud-native technologies has transformed the way organizations design, deploy, and manage digital platforms. While cloud-native architectures provide agility, scalability, and operational efficiency, they also introduce complex security challenges arising from distributed workloads, dynamic infrastructure, remote access, and sophisticated cyber threats. Traditional perimeter-based security models are increasingly inadequate in protecting modern enterprise environments characterized by microservices, containers, multi-cloud deployments, and continuous integration/continuous delivery pipelines. In response, the Zero-Trust security paradigm has emerged as a strategic framework that assumes no user, device, application, or network component should be trusted by default. Simultaneously, advances in artificial intelligence have enabled organizations to enhance threat detection, behavioral analytics, automated response, and policy enforcement across digital ecosystems. This essay examines an AI-driven Zero-Trust enterprise architecture designed to support secure, scalable, and compliant cloud-native digital platforms. It explores the integration of artificial intelligence with Zero-Trust principles to establish continuous verification, adaptive access control, intelligent monitoring, and regulatory compliance. The study reviews existing literature on cloud-native security, AI-enabled cybersecurity, and enterprise architecture frameworks, followed by a comprehensive methodological discussion outlining the design and evaluation of an AI-driven Zero-Trust model. The proposed architecture demonstrates how organizations can strengthen cyber resilience, reduce attack surfaces, improve governance, and achieve sustainable digital transformation while maintaining security, scalability, and compliance in increasingly complex technological environments
Article Information
Journal |
International Journal of Emerging Trends in Engineering and Management Research |
|---|---|
Volume (Issue) |
Vol. 7 No. 4 (2022): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) |
DOI |
|
Pages |
12168-12178 |
Published |
July 7, 2022 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr.G.Vimal Raja (%2022). AI-Driven Enterprise Architecture Integrating Zero-Trust Security for Secure Scalable and Compliant Cloud-Native Platforms. International Journal of Emerging Trends in Engineering and Management Research , Vol. 7 No. 4 (2022): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 12168-12178. https://doi.org/10.15662/ijetemr.2022.0704002 |
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