The evolution of container security in Kubernetes environments

This article examines the security challenges associated with containerized applications in Kubernetes environments. It explores the evolution from traditional security models to container-specific approaches needed for ephemeral, distributed workloads. The methodology evaluates security solutions across vulnerability management, compliance monitoring, runtime protection, network security, and access control dimensions. The discussion highlights key challenges including container image vulnerabilities, runtime security enforcement in dynamic environments, multi-tenancy concerns, network segmentation complexities, tooling limitations at scale, and compliance issues in regulated industries. Results demonstrate the effectiveness of comprehensive security controls spanning the container lifecycle, from image scanning and registry controls to runtime protection, network policies, role-based access control, and compliance automation. The article concludes by examining future directions, including zero-trust security models, AI-powered anomaly detection, DevSecOps integration, emerging supply chain security standards, serverless security evolution, and research opportunities in container isolation technologies.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17321492
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The evolution of container security in Kubernetes environments

Zenodo (CERN European Organization for Nuclear Research)
Environmental DNA in Biodiversity Studies
article

The evolution of container security in Kubernetes environments

article en

Abstract

This article examines the security challenges associated with containerized applications in Kubernetes environments. It explores the evolution from traditional security models to container-specific approaches needed for ephemeral, distributed workloads. The methodology evaluates security solutions across vulnerability management, compliance monitoring, runtime protection, network security, and access control dimensions. The discussion highlights key challenges including container image vulnerabilities, runtime security enforcement in dynamic environments, multi-tenancy concerns, network segmentation complexities, tooling limitations at scale, and compliance issues in regulated industries. Results demonstrate the effectiveness of comprehensive security controls spanning the container lifecycle, from image scanning and registry controls to runtime protection, network policies, role-based access control, and compliance automation. The article concludes by examining future directions, including zero-trust security models, AI-powered anomaly detection, DevSecOps integration, emerging supply chain security standards, serverless security evolution, and research opportunities in container isolation technologies.

Zenodo (CERN European Organization for Nuclear Research)
New England College (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Environmental DNA in Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The evolution of container security in Kubernetes environments · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS