Cloud-Native Security Architectures for Containerized and Kubernetes-Based Workloads

Authors

  • Mohammed Rafique Senior Solution Architect, AgreeYa Solutions Inc, Texas, USA Author
  • James Raymond Research Assistant, University of Minnesota, Minnesota, USA Author
  • Jose Felix Solomon Director of Cloud Engineering, Hitachi Digital Services, Hyderabad, India Author
  • Takudzwa Fadziso Associate Professor Computer Science, Chinhoyi University of Technology, Zimbabwe Author

Abstract

Fast cloud-native paradigm adoption like Kubernetes-orchestrated containerized applications challenges IT infrastructure and attack surfaces. Kubernetes' speed and microservices overwhelm perimeter-based security. Limited runtime enforcement, reactive threat detection, and coarse limitations delay mitigation and increase risk. Read about cloud-native security architectures that protect Kubernetes-native workloads with runtime security monitoring, service mesh-based policy enforcement, and container separation. Prevention of microservice lateral movement in proactive security orchestration is achieved via context-aware constraints, fine-grained telemetry, and workload-level behavioral analytics. Significant features include runtime security, container isolation effectiveness monitoring, and scalable service mesh policy enforcement. Architecture, scale, and practical challenges arise with zero-trust-aligned cloud-native security in production-grade Kubernetes clusters. Safe cloud-native infrastructure research and deployment follow results.

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Published

18-05-2025

How to Cite

[1]
M. Rafique, J. Raymond, J. F. Solomon, and T. Fadziso, “Cloud-Native Security Architectures for Containerized and Kubernetes-Based Workloads”, European Journal of Quantum Computing and Intelligent Agents, vol. 7, pp. 101–115, May 2025, Accessed: Jul. 26, 2026. [Online]. Available: https://ejqcia.org/index.php/publication/article/view/49