JOURNAL ARTICLE

Zero Trust Architecture in DevSecOps: Enhancing Security in Cloud-Native Environments

Ravindra Karanam

Year: 2024 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 12 (8)Pages: 1071-1077   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

This comprehensive article explores the implementation of Zero Trust Architecture (ZTA) within DevSecOps workflows, focusing on its application in cloud-native environments. The research examines the fundamental principles of ZTA, contrasting it with traditional perimeter-centric security models, and delves into its relevance in the context of modern software development practices. By investigating key challenges such as perimeter dissolution, dynamic workloads, and identity complexity, the study provides insights into the obstacles organizations face when adopting ZTA. The article presents a detailed analysis of best practices for ZTA implementation, including continuous monitoring, identity-based access controls, microsegmentation strategies, and comprehensive encryption policies. Furthermore, it emphasizes the importance of continuous learning and adaptability in maintaining an effective security posture. Through case studies and examination of real-world scenarios, the research highlights successful ZTA implementations and derives valuable lessons for practitioners. The article also explores future directions, considering the potential impact of AI, machine learning, edge computing, and evolving regulatory landscapes on ZTA. By synthesizing current research and industry practices, this article offers a holistic view of ZTA in DevSecOps, providing practitioners and researchers with actionable insights to enhance security in increasingly complex and distributed cloud-native ecosystems.

Keywords:
Cloud computing Computer science Context (archaeology) Implementation Adaptability Computer security Process management Identity (music) Knowledge management Data science Software engineering Business

Metrics

2
Cited By
3.06
FWCI (Field Weighted Citation Impact)
0
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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