Adaptive Enforcement Lab Claude Skills Workload Identity Federation Implementation

Workload Identity Federation Implementation

When to Use This Skill

Cloud Storage Access

from google.cloud import storage

# Credentials automatic
client = storage.Client(project='PROJECT_ID')
bucket = client.bucket('my-bucket')
blob = bucket.blob('data.txt')
blob.download_to_filename('data.txt')

Secret Manager Access

from google.cloud import secretmanager

client = secretmanager.SecretManagerServiceClient()
secret_name = f"projects/PROJECT_ID/secrets/api-key/versions/latest"
response = client.access_secret_version(request={"name": secret_name})
api_key = response.payload.data.decode('UTF-8')

Cross-Project Access

# SERVICE_ACCOUNT_A in PROJECT_A can impersonate SERVICE_ACCOUNT_B in PROJECT_B
gcloud iam service-accounts add-iam-policy-binding \
  service-account-b@PROJECT_B.iam.gserviceaccount.com \
  --role="roles/iam.serviceAccountUser" \
  --member="serviceAccount:service-account-a@PROJECT_A.iam.gserviceaccount.com"

Implementation

Containers need cloud access. But service account keys are static credentials that never rotate, frequently get stolen, and live forever.

Workload Identity Federation lets containers prove their identity to cloud providers without ever storing keys. The Kubernetes cluster itself becomes a trusted identity provider.

Production Hardening

Workload Identity eliminates the largest attack surface in containerized environments. This is foundational. Get it right.

What is Workload Identity Federation?

Instead of storing a static key, your container presents a signed JWT token to prove it's running in your cluster.

Service account keys are abandoned credentials. Workload Identity is ephemeral proof.

How It Works

1. Pod requests token - Kubernetes API issues signed JWT
2. Token presented to GCP - GCP validates signature
3. GCP issues access token - Short-lived credential for GCP APIs
4. Automatic rotation - Token refreshes before expiration

Architecture

See examples.md for detailed code examples.

Implementation Guide

This guide is split into focused modules:

Setup

• Cluster Configuration: Enable Workload Identity on GKE clusters and node pools
• Service Account Binding: Create service accounts and configure IAM bindings

Application Integration

• Pod Configuration: Deploy workloads and common GCP service access patterns
• Migration Guide: Migrate from service account keys with zero downtime

Operations

• Troubleshooting: Debug auth failures, token issues, permissions

Quick Start

See examples.md for detailed code examples.

Verification

Test authentication from inside a pod:

kubectl run -it --image=google/cloud-sdk:slim test-wi \
  --serviceaccount=app-sa \
  -n production \
  -- gcloud auth list

Benefits

Security

• No static credentials: Tokens expire automatically
• Immediate revocation: Disable service account, access stops
• Audit trail: Cloud Audit Logs track all impersonation
• Least privilege: Fine-grained IAM per workload

Operations

• Zero key management: No rotation, no storage, no exposure
• Simplified onboarding: Annotate ServiceAccount, deploy
• Cross-project access: Impersonate service accounts in other projects
• External identity: GitHub Actions, external OIDC providers

Common Mistakes

• Forgetting to annotate the Kubernetes ServiceAccount
• Using wrong format in IAM binding (serviceAccount:PROJECT_ID.svc.id.goog[NAMESPACE/SA_NAME])
• Not granting roles/iam.workloadIdentityUser role
• Metadata server enabled on nodes (workloadMetadataConfig.mode must be GKE_METADATA)

Migration from Service Account Keys

Before (Static Keys)

See examples.md for detailed code examples.

Problems:

• Key never expires
• If leaked, must manually revoke and rotate
• Stored in cluster (potential exposure)
• No audit trail of usage

After (Workload Identity)

# Kubernetes ServiceAccount with annotation
apiVersion: v1
kind: ServiceAccount
metadata:
  name: app-sa
  annotations:
    iam.gke.io/gcp-service-account: app-gcp@PROJECT_ID.iam.gserviceaccount.com

Benefits:

• Token expires every hour (automatic rotation)
• Revoke by disabling GCP service account
• No secrets stored in cluster
• Full audit trail in Cloud Audit Logs

See Migration Guide for detailed migration steps.

Use Cases

Cloud Storage Access

from google.cloud import storage

# Credentials automatic
client = storage.Client(project='PROJECT_ID')
bucket = client.bucket('my-bucket')
blob = bucket.blob('data.txt')
blob.download_to_filename('data.txt')

Secret Manager Access

from google.cloud import secretmanager

client = secretmanager.SecretManagerServiceClient()
secret_name = f"projects/PROJECT_ID/secrets/api-key/versions/latest"
response = client.access_secret_version(request={"name": secret_name})
api_key = response.payload.data.decode('UTF-8')

Cross-Project Access

# SERVICE_ACCOUNT_A in PROJECT_A can impersonate SERVICE_ACCOUNT_B in PROJECT_B
gcloud iam service-accounts add-iam-policy-binding \
  service-account-b@PROJECT_B.iam.gserviceaccount.com \
  --role="roles/iam.serviceAccountUser" \
  --member="serviceAccount:service-account-a@PROJECT_A.iam.gserviceaccount.com"

References

• Workload Identity Documentation
• IAM Conditions
• GitHub Actions Integration
• Best Practices

Related Content

• GKE Hardening Guide: Comprehensive GKE security configuration
• IAM Configuration: Least-privilege IAM patterns
• Secure: Security discovery and remediation

Workload Identity eliminates static keys. Tokens rotate automatically. Access revokes immediately. Audit trail complete. Zero-trust credential model in place.

What is Workload Identity Federation?

Instead of storing a static key, your container presents a signed JWT token to prove it's running in your cluster.

Service account keys are abandoned credentials. Workload Identity is ephemeral proof.

How It Works

1. Pod requests token - Kubernetes API issues signed JWT
2. Token presented to GCP - GCP validates signature
3. GCP issues access token - Short-lived credential for GCP APIs
4. Automatic rotation - Token refreshes before expiration

Architecture

See examples.md for detailed code examples.

Implementation Guide

This guide is split into focused modules:

Setup

• Cluster Configuration: Enable Workload Identity on GKE clusters and node pools
• Service Account Binding: Create service accounts and configure IAM bindings

Application Integration

• Pod Configuration: Deploy workloads and common GCP service access patterns
• Migration Guide: Migrate from service account keys with zero downtime

Operations

• Troubleshooting: Debug auth failures, token issues, permissions

Quick Start

See examples.md for detailed code examples.

Verification

Test authentication from inside a pod:

kubectl run -it --image=google/cloud-sdk:slim test-wi \
  --serviceaccount=app-sa \
  -n production \
  -- gcloud auth list

Benefits

Security

• No static credentials: Tokens expire automatically
• Immediate revocation: Disable service account, access stops
• Audit trail: Cloud Audit Logs track all impersonation
• Least privilege: Fine-grained IAM per workload

Operations

• Zero key management: No rotation, no storage, no exposure
• Simplified onboarding: Annotate ServiceAccount, deploy
• Cross-project access: Impersonate service accounts in other projects
• External identity: GitHub Actions, external OIDC providers

Common Mistakes

• Forgetting to annotate the Kubernetes ServiceAccount
• Using wrong format in IAM binding (serviceAccount:PROJECT_ID.svc.id.goog[NAMESPACE/SA_NAME])
• Not granting roles/iam.workloadIdentityUser role
• Metadata server enabled on nodes (workloadMetadataConfig.mode must be GKE_METADATA)

Migration from Service Account Keys

Before (Static Keys)

See examples.md for detailed code examples.

Problems:

• Key never expires
• If leaked, must manually revoke and rotate
• Stored in cluster (potential exposure)
• No audit trail of usage

After (Workload Identity)

# Kubernetes ServiceAccount with annotation
apiVersion: v1
kind: ServiceAccount
metadata:
  name: app-sa
  annotations:
    iam.gke.io/gcp-service-account: app-gcp@PROJECT_ID.iam.gserviceaccount.com

Benefits:

• Token expires every hour (automatic rotation)
• Revoke by disabling GCP service account
• No secrets stored in cluster
• Full audit trail in Cloud Audit Logs

See Migration Guide for detailed migration steps.

Use Cases

Cloud Storage Access

from google.cloud import storage

# Credentials automatic
client = storage.Client(project='PROJECT_ID')
bucket = client.bucket('my-bucket')
blob = bucket.blob('data.txt')
blob.download_to_filename('data.txt')

Secret Manager Access

from google.cloud import secretmanager

client = secretmanager.SecretManagerServiceClient()
secret_name = f"projects/PROJECT_ID/secrets/api-key/versions/latest"
response = client.access_secret_version(request={"name": secret_name})
api_key = response.payload.data.decode('UTF-8')

Cross-Project Access

# SERVICE_ACCOUNT_A in PROJECT_A can impersonate SERVICE_ACCOUNT_B in PROJECT_B
gcloud iam service-accounts add-iam-policy-binding \
  service-account-b@PROJECT_B.iam.gserviceaccount.com \
  --role="roles/iam.serviceAccountUser" \
  --member="serviceAccount:service-account-a@PROJECT_A.iam.gserviceaccount.com"

References

• Workload Identity Documentation
• IAM Conditions
• GitHub Actions Integration
• Best Practices

Related Content

• GKE Hardening Guide: Comprehensive GKE security configuration
• IAM Configuration: Least-privilege IAM patterns
• Secure: Security discovery and remediation

Workload Identity eliminates static keys. Tokens rotate automatically. Access revokes immediately. Audit trail complete. Zero-trust credential model in place.

Examples

See examples.md for code examples.

Full Reference

See reference.md for complete documentation.

Related Patterns

• GKE Hardening Guide
• IAM Configuration
• Secure

References

• Source Documentation
• AEL Secure

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