implementing-gcp-binary-authorization

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-gcp-binary-authorization
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summary

Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.

skill.md
name
implementing-gcp-binary-authorization
description
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
domain
cybersecurity
subdomain
cloud-security
tags
- gcp - binary-authorization - container-security - supply-chain - gke - cloud-run - attestation - software-integrity
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01

Implementing GCP Binary Authorization

Overview

Binary Authorization is a Google Cloud deploy-time security control that ensures only trusted container images are deployed on GKE or Cloud Run. It works through a policy-based model where images must have cryptographic attestations confirming they passed predefined requirements such as vulnerability scans, code reviews, or build pipeline verification. Continuous validation (CV) monitors running pods against policies and logs violations.

When to Use

  • When deploying or configuring implementing gcp binary authorization capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • GCP project with Binary Authorization API enabled
  • GKE cluster or Cloud Run service
  • Container Analysis API enabled
  • KMS keys for attestation signing
  • Cloud Build or external CI/CD pipeline

Enable Binary Authorization

# Enable required APIs
gcloud services enable binaryauthorization.googleapis.com
gcloud services enable containeranalysis.googleapis.com
gcloud services enable container.googleapis.com

# Enable Binary Authorization on GKE cluster
gcloud container clusters update CLUSTER_NAME \
  --enable-binauthz \
  --zone us-central1-a

Create Attestor

Create a KMS key for signing

# Create keyring
gcloud kms keyrings create binauthz-keyring \
  --location global

# Create signing key
gcloud kms keys create attestor-key \
  --keyring binauthz-keyring \
  --location global \
  --algorithm ec-sign-p256-sha256 \
  --purpose asymmetric-signing

Create Container Analysis note

cat > /tmp/note.json << 'EOF'
{
  "attestation": {
    "hint": {
      "humanReadableName": "Production Build Attestor"
    }
  }
}
EOF

curl -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  "https://containeranalysis.googleapis.com/v1/projects/PROJECT_ID/notes/?noteId=prod-build-note" \
  -d @/tmp/note.json

Create the attestor

gcloud container binauthz attestors create prod-build-attestor \
  --attestation-authority-note=prod-build-note \
  --attestation-authority-note-project=PROJECT_ID

# Add KMS key to attestor
gcloud container binauthz attestors public-keys add \
  --attestor=prod-build-attestor \
  --keyversion-project=PROJECT_ID \
  --keyversion-location=global \
  --keyversion-keyring=binauthz-keyring \
  --keyversion-key=attestor-key \
  --keyversion=1

Configure Policy

Default deny-all policy

# binauthz-policy.yaml
admissionWhitelistPatterns:
  - namePattern: "gcr.io/google_containers/*"
  - namePattern: "gcr.io/google-containers/*"
  - namePattern: "k8s.gcr.io/**"
  - namePattern: "gke.gcr.io/**"
  - namePattern: "gcr.io/stackdriver-agents/*"
defaultAdmissionRule:
  evaluationMode: REQUIRE_ATTESTATION
  enforcementMode: ENFORCED_BLOCK_AND_AUDIT_LOG
  requireAttestationsBy:
    - projects/PROJECT_ID/attestors/prod-build-attestor
globalPolicyEvaluationMode: ENABLE
gcloud container binauthz policy import binauthz-policy.yaml

Per-cluster rules

admissionWhitelistPatterns:
  - namePattern: "gcr.io/google_containers/*"
clusterAdmissionRules:
  us-central1-a.production-cluster:
    evaluationMode: REQUIRE_ATTESTATION
    enforcementMode: ENFORCED_BLOCK_AND_AUDIT_LOG
    requireAttestationsBy:
      - projects/PROJECT_ID/attestors/prod-build-attestor
  us-central1-a.staging-cluster:
    evaluationMode: ALWAYS_ALLOW
    enforcementMode: DRYRUN_AUDIT_LOG_ONLY
defaultAdmissionRule:
  evaluationMode: ALWAYS_DENY
  enforcementMode: ENFORCED_BLOCK_AND_AUDIT_LOG

Create Attestations

Attest an image after successful build

# Get image digest
IMAGE_DIGEST=$(gcloud container images describe \
  gcr.io/PROJECT_ID/my-app:latest \
  --format='get(image_summary.digest)')

# Create attestation
gcloud container binauthz attestations sign-and-create \
  --artifact-url="gcr.io/PROJECT_ID/my-app@${IMAGE_DIGEST}" \
  --attestor="prod-build-attestor" \
  --attestor-project="PROJECT_ID" \
  --keyversion-project="PROJECT_ID" \
  --keyversion-location="global" \
  --keyversion-keyring="binauthz-keyring" \
  --keyversion-key="attestor-key" \
  --keyversion="1"

Cloud Build integration

# cloudbuild.yaml
steps:
  - name: 'gcr.io/cloud-builders/docker'
    args: ['build', '-t', 'gcr.io/$PROJECT_ID/my-app:$SHORT_SHA', '.']

  - name: 'gcr.io/cloud-builders/docker'
    args: ['push', 'gcr.io/$PROJECT_ID/my-app:$SHORT_SHA']

  # Vulnerability scanning
  - name: 'gcr.io/cloud-builders/gcloud'
    entrypoint: 'bash'
    args:
      - '-c'
      - |
        gcloud artifacts docker images scan \
          gcr.io/$PROJECT_ID/my-app:$SHORT_SHA \
          --format='value(response.scan)'

  # Create attestation after successful scan
  - name: 'gcr.io/cloud-builders/gcloud'
    entrypoint: 'bash'
    args:
      - '-c'
      - |
        IMAGE_DIGEST=$(gcloud container images describe \
          gcr.io/$PROJECT_ID/my-app:$SHORT_SHA \
          --format='get(image_summary.digest)')
        gcloud container binauthz attestations sign-and-create \
          --artifact-url="gcr.io/$PROJECT_ID/my-app@$${IMAGE_DIGEST}" \
          --attestor="prod-build-attestor" \
          --attestor-project="$PROJECT_ID" \
          --keyversion-project="$PROJECT_ID" \
          --keyversion-location="global" \
          --keyversion-keyring="binauthz-keyring" \
          --keyversion-key="attestor-key" \
          --keyversion="1"

Continuous Validation

# Enable CV on a GKE cluster
gcloud container clusters update CLUSTER_NAME \
  --enable-binauthz-monitoring \
  --zone us-central1-a

Monitor CV violations in Cloud Logging

resource.type="k8s_cluster"
logName="projects/PROJECT_ID/logs/binaryauthorization.googleapis.com%2Fcontinuous_validation"

Verification and Testing

Test deployment of unattested image

# This should be blocked
kubectl run test-unapproved \
  --image=docker.io/library/nginx:latest

# Verify the pod was denied
kubectl get events --field-selector reason=FailedCreate

Verify attestation exists

gcloud container binauthz attestations list \
  --attestor=prod-build-attestor \
  --attestor-project=PROJECT_ID

Break-Glass Override

For emergency deployments bypassing Binary Authorization:

apiVersion: v1
kind: Pod
metadata:
  name: emergency-pod
  labels:
    image-policy.k8s.io/break-glass: "true"
  annotations:
    alpha.image-policy.k8s.io/break-glass: "Emergency deployment - ticket INC-12345"
spec:
  containers:
    - name: emergency
      image: gcr.io/PROJECT_ID/emergency-fix:latest

References

how to use implementing-gcp-binary-authorization

How to use implementing-gcp-binary-authorization on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add implementing-gcp-binary-authorization
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-gcp-binary-authorization

The skills CLI fetches implementing-gcp-binary-authorization from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-gcp-binary-authorization

Reload or restart Cursor to activate implementing-gcp-binary-authorization. Access the skill through slash commands (e.g., /implementing-gcp-binary-authorization) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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general reviews

Ratings

4.640 reviews
  • Daniel White· Dec 24, 2024

    Keeps context tight: implementing-gcp-binary-authorization is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kofi Yang· Dec 20, 2024

    Solid pick for teams standardizing on skills: implementing-gcp-binary-authorization is focused, and the summary matches what you get after install.

  • Zaid Menon· Nov 27, 2024

    We added implementing-gcp-binary-authorization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dev Thompson· Nov 15, 2024

    Registry listing for implementing-gcp-binary-authorization matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amelia Diallo· Nov 11, 2024

    implementing-gcp-binary-authorization has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Nov 3, 2024

    implementing-gcp-binary-authorization reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Pratham Ware· Oct 22, 2024

    We added implementing-gcp-binary-authorization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Nia Johnson· Oct 18, 2024

    implementing-gcp-binary-authorization reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kofi Chen· Oct 6, 2024

    Useful defaults in implementing-gcp-binary-authorization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Kim· Oct 2, 2024

    implementing-gcp-binary-authorization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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