Explore how teams secure containerized applications and Kubernetes environments. These articles explain architectural risks, runtime threats, and the controls teams apply from build to prod.
Understand how Wiz protects pods, workloads, and container images from misconfigurations, vulnerabilities, and exposure across Kubernetes and cloud environments
Container scanning detects vulnerabilities, misconfigurations, and secrets in container images and runtime environments. Learn how it works, what to scan for, and how to integrate it across the container lifecycle.
Google Kubernetes Engine (GKE), the managed Kubernetes solution from Google Cloud, is designed to help manage containerized applications through built-in security features that protect sensitive data and minimize potential risks.
A hardened image is a pre-configured container or VM template stripped of unnecessary components and vulnerabilities to minimize risk.
Helm Charts streamline the deployment of applications by providing a packaging format that includes all necessary Kubernetes resources.
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A Kubernetes cluster consists of a group of node machines designed to run applications within containers.
Kubernetes architecture is the set of components and communication patterns that orchestrate containerized workloads across a cluster.
Container lifecycle management is the practice of governing every stage a container goes through, from initial image creation and deployment to runtime operation, maintenance, and eventual retirement.
Container architecture is a way to package and deploy applications as standardized units called containers.
Hardened images give you peace of mind that your workload is following security best practices right out of the box.
Kubernetes Security Posture Management (KSPM) is the practice of monitoring, assessing, and ensuring the security and compliance of Kubernetes environments.
Container runtime security is the combination of measures and technology implemented to protect containerized applications at the runtime stage.
Kubernetes as a service (KaaS) is a model in which hyperscalers like AWS, GCP, and Azure allow you to quickly and easily start a Kubernetes cluster and begin deploying workloads on it instantly.
A container runtime is the foundational software that allows containers to operate within a host system.
Kubernetes runtime security refers to the measures and practices implemented to protect Kubernetes clusters and the applications running within them during their operational phase.
8 no-brainer container security best practices + the key components of container architecture to secure
Kubernetes Ingress is an API object that routes external HTTP/HTTPS traffic to multiple backend services, typically behind a shared external entry point, by mapping the HTTP Host header and URL path to specific internal services.
Kubernetes vulnerability scanning is the systematic process of inspecting a Kubernetes cluster (including its container images and configurations) to detect security misconfigurations or vulnerabilities that could compromise the security posture of the cluster.
Container management refers to the process of building, storing, deploying, and running containers in production, spanning from the image pipeline to the cluster and host.
Docker secrets are encrypted credentials that Docker mounts into containers at runtime without persisting them in image layers.
Container image signing is a critical security process for establishing trust. Just as you'd expect a signature to verify the authenticity of a document, image signing does the same for container images—those neat packages that carry your code along with all the necessary parts to run it anywhere.
Learn how to configure Kubernetes security contexts, avoid common misconfigurations, and apply best practices for running secure clusters in production.
Simply put, minimal images focus on a smaller footprint (fewer packages, faster pulls), while hardened images focus on secure defaults (non-root users, signed artifacts, provenance).
A golden image is an authorized template that you use to launch consistent and secure computing resources in modern cloud environments.
We cover the top container security tools across 7 common use cases, including image scanning, compliance, secrets management, and runtime security.
Explore the top Docker alternatives with in-depth comparisons, practical insights, and expert tips for selecting the right container tool for your needs.
Choosing the right Kubernetes alternative for container orchestration helps you simplify deployments, improve scalability, and meet your infrastructure’s needs.
EKS security refers to the practices, strategies, and technologies that organizations use to protect Amazon Elastic Kubernetes Service (EKS) environments from threats.
Container security is the process of securing the container pipeline, the content running inside the containers, and the infrastructure on which the containers run.
Learn how container images work, their role in deployment, security risks, and best practices to streamline and protect your cloud-native applications.
Looking to make the most of containerization while minimizing risk? Container scanning solutions are a critical line of defense that help ensure the safe and secure deployment of applications.
A service mesh is an infrastructure layer that’s designed to securely handle communication between your microservices.
Docker makes it easy to build and run containers, while Kubernetes manages and scales them. Docker provides the tools to build, package, and run applications as self-contained images, and Kubernetes focuses on scheduling, scaling, and healing those containers across clusters of hosts. They address different layers of the stack and work best together.
Managed Kubernetes is a cloud-hosted form of Kubernetes in which hyperscalers (like Azure, AWS, and GCP) run the cluster’s control plane for you.
Container base image patching is the process of updating the OS and runtime libraries in the base layer of a container image to remediate vulnerabilities and keep images secure.
A Kubernetes engineer is a specialized tech role responsible for the design, deployment, and maintenance of container orchestration platforms.
Azure Container Security Scanning finds vulnerabilities and misconfigurations in container images and workloads in Azure Container Registry and AKS.
AWS container scanning is the practice of identifying security issues in your software containers before they run in production.
Docker vulnerability scanning is the automated process of analyzing container images to find known security weaknesses.
Container image scanning is the automated process of analyzing container images for security vulnerabilities, misconfigurations, and compliance violations.
Compare top container monitoring tools with our expert guide. Use best practices to choose the right solution to monitor & secure your multi-cloud environment.
Runtime scanning answers a critical question: 'What is runtime security for containers?' It focuses on detecting live behaviors, active threats, and anomalies that only appear when containers execute under real production traffic.
Kubernetes YAML is the declarative file format Kubernetes uses to define, configure, and manage cluster resources.
eBPF provides deep visibility into network traffic and application performance while maintaining safety and efficiency by executing custom code in response to the kernel at runtime.
Container escape is when an attacker breaks out of a container’s isolation to gain unauthorized access to the host system.
It’s a good idea to consider a range of Kubernetes security tools. Open source solutions can greatly improve the security of your Kubernetes clusters, so this section explores the top 11 open-source Kubernetes security tools that can help to safeguard your Kubernetes environment.
Understand the total cost of running Kubernetes: control plane, nodes, add‑ons, and time spent by engineers/operators.
Kubernetes security incidents differ fundamentally from traditional IT breaches. Containers and pods are ephemeral—some containers live for only seconds or minutes. They're created, destroyed, and moved within seconds, making it far harder to track attacks compared to static servers.
Nodes are the physical or virtual machines that provide computing resources in a Kubernetes cluster, while pods are the smallest deployable units that contain one or more containers
The Kubernetes control plane is the cluster’s management layer that exposes the API, stores cluster state, and continuously reconciles desired configuration—scheduling, scaling, and replacing pods as needed—to keep applications healthy and consistent across nodes.
Containerization vs virtualization compares containers sharing the host kernel with virtual machines, covering resource use, security, and scalability.
The open-source nature of Kubernetes means that it is continually being updated and improved, which introduces new features and functionalities—as well as new vulnerabilities. Understand the most pressing K8 security challenges.
A container platform is a comprehensive solution that allows organizations to efficiently create, deploy, and manage containers.
Kubernetes namespaces divide a given cluster into virtual clusters, helping to separate and manage resources while still keeping them within the same physical cluster. By segregating workloads and applying policies per namespace, you can create boundaries that keep your multi-tenant environments safe and organized.
Learn about a container registry’s role in the software supply chain, compare top providers, and discover best practices for secure container image management.
In this post, we’ll unpack the technical realities of securing Kubernetes in multi-cloud environments. We’ll cover common architectural patterns, dive into key security challenges, and walk through best practices for building a more secure, scalable, and consistent posture across clouds
In this article we will walk through Kubernetes security best practices, explore key Kubernetes security tools, and show how safeguarding every aspect of container security is vital.
Learn essential AKS security concepts and best practices to protect your Kubernetes environments, safeguard applications, and stay ahead of evolving threats.
A base image is the foundational layer of every container—it acts like the container’s operating system (OS), providing core files, dependencies, and configurations needed to run your application.
Container vulnerability management is the process of finding and fixing flaws throughout the container stack.
A KBOM inventories every orchestration-layer component—from control-plane services and node binaries to CNI plugins and custom resources.
Get Kubernetes RBAC best practices all in one place. Plus, learn actionable tips for beginners and advanced cloud security teams (and tools to use to improve).
Discover essential Kubernetes monitoring tools and best practices to optimize performance, enhance security, and ensure seamless cluster management.
Learn how containers as a service can streamline your deployments, boost scalability, and strengthen security while tackling key challenges and risks.
Learn how container orchestration can automate deployment and management for containerized workloads. Find out best practices for an efficient and secure cloud.
Compare containers and virtual machines (VMs) to learn their security, performance, and scalability differences. Find the right approach for your cloud.
Secure your Kubernetes workloads with best practices to prevent threats, protect your containers, and strengthen access controls for a safer cloud environment.
The primary function of admission controllers is the enforcement of custom policies on incoming requests, ensuring that only valid and compliant API requests are executed.
Docker containers leverage the Docker Engine (a platform built on top of Linux containers) to simplify the software development process.
A Kubernetes secret is an object in the Kubernetes ecosystem that contains sensitive information (think keys, passwords, and tokens)
Understanding the nuances of Linux containers is crucial for building robust, secure applications. This blog post provides insights into the practical implementation of containers, focusing on both their strengths and potential pitfalls.
At their core, containers encapsulate the application code and runtime, system tools, dependencies, and settings that enable it to operate in the same way across multiple environments.
In this blog post, we’ll discuss the need for DevSecOps in Kubernetes environments. We'll walk through the reasons behind this approach, the unique challenges of orchestrated platforms, and the Kubernetes security layers that matter most.
Containerization encapsulates an application and its dependencies into a container image, facilitating consistent execution across any host operating system supporting a container engine.
A container engine is a software tool that automates the process of running applications in isolated, lightweight environments called containers.
