About gke-workload-security
A workload security guide for GKE operators covering security audits, Workload Identity, network policies, node protection, and secret management, with setup steps and examples.
Key features
- 01Audit cluster security settings
- 02Configure Workload Identity
- 03Apply network policies and default deny
- 04Enable Shielded Nodes and GKE Sandbox
- 05Enforce Pod Security Standards
- 06Mount Secret Manager secrets through the CSI Driver
Use cases
- 01Review cluster identity and node security
- 02Restrict traffic between Pods
- 03Isolate untrusted workloads
- 04Mount Secret Manager secrets into Pods
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ googlecloudplatform/ gke-mcp --skill gke-workload-securityAfter installing, type/gke-workload-securityin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
assets/default-deny-netpol.yamlworkload-identity-pod.yamlscripts/audit_cluster.shDetails
From the project READMEGKE Workload Security
This skill provides workflows and best practices for securing GKE workloads. It covers security auditing, Identity and Access Management (Workload Identity), Network Security (Network Policies), and Node Security.
Workflows
1. Security Audit
Assess the current security posture of your cluster using the provided audit script.
Capabilities:
- Checks for Workload Identity.
- Verifies Network Policy is enabled.
- Checks if Shielded Nodes are enabled.
- Checks if Binary Authorization is enabled.
- Checks for Private Cluster configuration.
Command:
./scripts/audit_cluster.sh <cluster-name> <region> <project-id>
2. Configure Workload Identity
Workload Identity allows Kubernetes Service Accounts (KSAs) to impersonate Google Service Accounts (GSAs). This is the recommended method for workloads to access Google Cloud APIs.
Steps:
-
Create Namespace and KSA:
kubectl create namespace workload-identity-test-ns kubectl create serviceaccount <ksa-name> \ --namespace workload-identity-test-ns -
Bind KSA to GSA:
gcloud iam service-accounts add-iam-policy-binding <gsa-name>@<project-id>.iam.gserviceaccount.com \ --role roles/iam.workloadIdentityUser \ --member "serviceAccount:<project-id>.svc.id.goog[workload-identity-test-ns/<ksa-name>]" -
Annotate KSA:
kubectl annotate serviceaccount <ksa-name> \ --namespace workload-identity-test-ns \ iam.gke.io/gcp-service-account=<gsa-name>@<project-id>.iam.gserviceaccount.com -
Verify Example Pod: Use existing asset
assets/workload-identity-pod.yamlto test the configuration. Update the<ksa-name>in the file first.kubectl apply -f ./assets/workload-identity-pod.yaml -n workload-identity-test-ns
3. Implement Network Policies
Control traffic flow between Pods using Network Policies. By default, all traffic is allowed.
Enable Network Policy Enforcement:
gcloud container clusters update <cluster-name> \
--update-addons=NetworkPolicy=ENABLED \
--region <region>
Note
If your cluster uses Dataplane V2 (
--enable-dataplane-v2), Network Policy enforcement is built-in and this step is not required (and may fail).
Apply Default Deny Policy: Isolate namespaces by denying all ingress and egress traffic by default.
Replace with the namespace you want to isolate.
kubectl apply -f ./assets/default-deny-netpol.yaml -n <target-namespace>
4. Enable Shielded Nodes
Ensure nodes are running with verifiable integrity.
Command:
gcloud container clusters update <cluster-name> \
--enable-shielded-nodes \
--region <region>
5. GKE Sandbox (gVisor)
Run untrusted workloads in a sandbox for extra isolation.
Enable GKE Sandbox:
gcloud container clusters update <cluster-name> \
--enable-gke-sandbox \
--region <region>
Run a Sandboxed Pod:
Add runtimeClassName: gvisor to your Pod spec.
6. Pod Security Standards
Enforce security policies on namespaces using labels.
Enforce Restricted Profile:
kubectl label --overwrite ns <namespace> \
pod-security.kubernetes.io/enforce=restricted \
pod-security.kubernetes.io/enforce-version=latest
Note
Using
latestensures you use the policies corresponding to the cluster's current version. You can pin it to a specific version (e.g.,v1.30) to lock down the namespace to policies of a specific release.
7. Secret Manager Integration (CSI Driver)
Mount secrets from Google Cloud Secret Manager directly as volumes in your pods.
Prerequisites: Secret Manager CSI driver must be enabled on the cluster.
Example SecretProviderClass:
apiVersion: secrets-store.csi.x-k8s.io/v1
kind: SecretProviderClass
metadata:
name: my-secret-provider
spec:
provider: gcp
parameters:
secrets: |
- resourceName: "projects/<project-id>/secrets/my-secret/versions/latest"
fileName: "my-secret-file"
Example Pod Spec excerpt:
spec:
containers:
- name: my-app
volumeMounts:
- name: secrets-store-inline
mountPath: "/mnt/secrets"
readOnly: true
volumes:
- name: secrets-store-inline
csi:
driver: secrets-store.csi.k8s.io
readOnly: true
volumeAttributes:
secretProviderClass: "my-secret-provider"
8. Enable Network Policy Logging
If using GKE Dataplane V2, you can log allowed and denied connections.
Steps:
- Configure the
NetworkLoggingcustom resource.
Example NetworkLogging Manifest:
apiVersion: networking.gke.io/v1alpha1
kind: NetworkLogging
metadata:
name: default
spec:
cluster:
allow:
log: true
delegate: true
deny:
log: true
delegate: true
This will log connection details to Cloud Logging.
Best Practices
- Least Privilege: Always use Workload Identity with minimal IAM roles. Avoid using Node default service accounts.
- Network Isolation: Use Network Policies to restrict Pod-to-Pod communication. Enable Network Policy Logging for visibility.
- Image Security: Use Binary Authorization to ensure only trusted images are deployed.
- Secret Management: Use Secret Manager CSI driver instead of default Kubernetes secrets for sensitive data.
- Pod Security: Enforce
baselineorrestrictedPod Security Standards on all non-system namespaces. - Policy Enforcement: Consider using Policy Controller (Gatekeeper) to enforce custom security and compliance policies across the cluster.