Felipe, Carvalho and Dr. Ingrid, Jensen and Hiroshi, Nakamura (2024) ZERO TRUST ARCHITECTURES ENHANCED WITH AI FOR CLOUD-NATIVE SOFTWARE SYSTEMS. Manuscripts on the Artificial Intelligence and Digital Research, 1 (2). pp. 78-93. ISSN 3064-8807

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Abstract

The rapid adoption of cloud-native software systems has redefined enterprise computing, offering scalability, flexibility, and cost efficiency. However, this paradigm shift has also expanded the attack surface, exposing organizations to increasingly sophisticated cyber threats. Traditional perimeter-based security models are no longer adequate in distributed, containerized, and microservices-driven environments. Zero Trust Architecture (ZTA), which operates on the principle of “never trust, always verify,” has emerged as a promising framework for addressing these challenges. Yet, the dynamic and large-scale nature of cloud-native ecosystems demands enhanced intelligence and adaptability beyond conventional Zero Trust implementations.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	26 Sep 2025 11:28
Last Modified:	26 Sep 2025 11:28
URI:	http://eprints.umsida.ac.id/id/eprint/16382

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