gke-workload-security
GitHub提供GKE工作负载安全加固流程,涵盖安全审计、Workload Identity配置、网络策略实施及gVisor沙箱隔离。
Trigger Scenarios
Install
npx skills add google/skills --skill gke-workload-security -g -y
SKILL.md
Frontmatter
{
"name": "gke-workload-security",
"metadata": {
"category": "Security"
},
"description": "Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (`audit_cluster.sh`), configuring Workload Identity Federation (impersonation, KSA\/GSA binding, and pod setup), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling), and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing cluster security posture, isolating namespaces, applying pod security standards, setting up Workload Identity, or configuring network policies and secret volume mounts. Don't use for cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security instead)."
}
GKE 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.
Prerequisites:
gcloudCLI authenticated.jqcommand-line JSON processor installed.
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 <target-namespace> with the namespace you want to isolate.
kubectl apply -f assets/default-deny-netpol.yaml -n <target-namespace>
4. GKE Sandbox (gVisor) Pod Isolation
Run untrusted workloads in a sandbox for extra kernel isolation. (Note:
Enabling Shielded Nodes (--enable-shielded-nodes) and GKE Sandbox
(--enable-gke-sandbox) at the cluster control plane level are platform-level
actions covered in the gke-platform-security skill.)
Run a Sandboxed Pod: Add runtimeClassName: gvisor to your Pod spec:
apiVersion: v1
kind: Pod
metadata:
name: sandboxed-pod
spec:
runtimeClassName: gvisor
containers:
- name: app
image: nginx
5. 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.
6. 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"
7. 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.
Resources
Version History
- 05679aa Current 2026-07-31 08:00


