Deploy Aqua Security on GKE (2026)

Aqua Security is a platform that helps you secure your cloud-native applications, and deploying it on Google Kubernetes Engine (GKE) involves getting its various components running within your Kubernetes cluster.

Here’s what a typical Aqua Security deployment on GKE looks like, showing the core components and their interactions:

Let’s say you have a simple web application running on GKE. When Aqua Security is deployed, it integrates with your cluster to provide visibility and security controls.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-web-app
  labels:
    app: web
spec:
  replicas: 3
  selector:
    matchLabels:
      app: web
  template:
    metadata:
      labels:
        app: web
    spec:
      containers:
      - name: nginx
        image: nginx:latest
        ports:
        - containerPort: 80

When Aqua Security is installed, you’ll see additional DaemonSets and Deployments in your cluster, like aqua-admission-controller, aqua-scanner, and aqua-collector. The aqua-collector typically runs as a DaemonSet on each node, gathering runtime data. The aqua-admission-controller intercepts API requests to enforce policies before workloads are deployed. The aqua-scanner is used for vulnerability scanning of container images.

The problem Aqua Security solves is the inherent complexity and dynamic nature of cloud-native environments. Traditional security tools often struggle with the ephemeral nature of containers and microservices. Aqua provides a unified platform to manage security across the entire application lifecycle, from build to runtime.

Internally, Aqua leverages Kubernetes primitives extensively. The aqua-collector uses Kubernetes API watches to monitor pod and container events. The admission-controller is a Kubernetes ValidatingAdmissionWebhook and MutatingAdmissionWebhook, meaning it hooks into the Kubernetes API server’s request lifecycle. When a pod is created, the API server sends the pod definition to the aqua-admission-controller for validation. If the pod violates a policy (e.g., uses a vulnerable image, runs with excessive privileges), the admission controller rejects the request.

The exact levers you control with Aqua on GKE are granular. You configure SecurityPolicies that define rules for image vulnerability thresholds, runtime behavior (e.g., network access, file system changes, process execution), and compliance standards. You can also manage CompliancePolicies to ensure your cluster adheres to regulations like PCI-DSS or HIPAA. ImageScanner configurations allow you to specify which registries to scan and how often. RuntimePolicies are crucial for detecting and preventing malicious activity at runtime by defining what is considered "normal" and alerting or blocking deviations.

One thing most people don’t know is how tightly Aqua integrates with the underlying Kubernetes network policies. While Aqua has its own sophisticated network segmentation capabilities, it can also leverage and enforce Kubernetes NetworkPolicy objects to restrict traffic flow between pods, providing defense-in-depth. This means you can achieve granular network security without necessarily needing to deploy a separate CNI plugin for network policy enforcement, as Aqua can manage the Kubernetes native NetworkPolicy resources directly or provide its own overlay.

The next concept you’ll likely explore is how to integrate Aqua’s vulnerability scanning into your CI/CD pipeline.