What type of study is this?

This is a Literature Review study.

August 22, 2025Open Access

Data Security in Multi-Tenant Clusters

Puntos clave

The article identifies key threats in multi-tenant Kubernetes environments, emphasizing the need for a structured security approach.
An integrated security model is proposed, focusing on data security through effective container isolation and encryption protocols.
The methodology involved a thorough literature review, guiding the development of a multi-layer threat map for Kubernetes security.
The findings are aimed at assisting security engineers in implementing effective protections in CI/CD pipelines.],
simple_explanation
Data security is crucial for systems that share resources, like multi-tenant clusters in Kubernetes. This research identifies various security threats and suggests protective measures to keep data safe. By using methods such as container isolation to separate data and strong encryption to protect secrets, organizations can improve their defenses. This helps ensure that data remains protected in environments where many users share the same resources. 🔒

Resumen

This article presents a comprehensive analysis of the set of threats that are characteristic of heterogeneous Kubernetes deployments. The work aims to systematize and examine these threats, as well as to develop an integrated security model suitable for practical implementation. The methodological foundation consisted of a rigorous literature review encompassing both academic papers and engineering reports from major cloud providers. Special attention was given to publications on container isolation, inter-pod network policy, secrets management, and data encryption protocols. Based on this analysis, a multi-layer threat map is presented, detailing the attack vectors at each layer. The proposed protective measures are integrated into a unified DevSecOps lifecycle framework and can be automated within CI/CD pipelines. The conclusions drawn and the model developed are intended for security engineers, DevOps teams, and cloud platform architects who need to design and maintain multi-tenant Kubernetes clusters with a guaranteed level of data protection.

Preguntar a la IA

Me gusta

Guardar

Ver artículo completo