Claude Skills Guide

Claude Code for Aqua Security Container Workflow Guide

Container security has become a critical concern for development teams deploying applications at scale. Aqua Security provides comprehensive protection for containerized environments, but integrating it effectively into your development workflow requires careful planning and automation. This guide demonstrates how to leverage Claude Code to streamline Aqua Security container workflows, from image scanning to runtime protection.

Understanding the Aqua Security Integration Points

Aqua Security offers multiple integration layers within the container lifecycle. Before automating with Claude Code, understand where security fits into your pipeline. The primary integration points include image scanning during build, registry security, admission control, and runtime protection.

When working with Claude Code, you can use natural language prompts to generate configuration files, explain security findings, and create automation scripts. This significantly reduces the learning curve for teams adopting Aqua Security for the first time.

Prerequisites and Setup

Ensure you have the following components in place before integrating Claude Code with Aqua Security:

Claude Code can help you generate the necessary configuration files and scripts. Simply describe your environment and requirements.

Automating Image Scanning Workflows

Image scanning forms the foundation of container security. Claude Code excels at generating scanning scripts that fit your specific pipeline requirements. Here’s how to automate the scanning workflow effectively.

Generating Scan Scripts

Instead of manually writing scanning commands, describe your requirements to Claude Code:

# Example prompt to Claude Code
# "Generate a Python script that scans Docker images using Aqua Security CLI
# and fails the build if critical vulnerabilities are found"

Claude Code can produce scripts like this:

#!/usr/bin/env python3
"""Aqua Security Image Scanner for CI/CD Pipelines"""

import subprocess
import json
import sys
from typing import Dict, List

def scan_image(image_name: str, aqua_cli_path: str = "aquactl") -> Dict:
    """Scan container image using Aqua Security CLI"""
    cmd = [
        aqua_cli_path, "scan",
        "--image", image_name,
        "--json", "--format=json"
    ]
    
    result = subprocess.run(
        cmd,
        capture_output=True,
        text=True
    )
    
    if result.returncode != 0:
        raise RuntimeError(f"Scan failed: {result.stderr}")
    
    return json.loads(result.stdout)

def check_vulnerability_threshold(scan_results: Dict, 
                                   critical_limit: int = 0,
                                   high_limit: int = 10) -> bool:
    """Determine if scan results exceed acceptable thresholds"""
    vulnerabilities = scan_results.get("vulnerabilities", {})
    
    critical = vulnerabilities.get("critical", 0)
    high = vulnerabilities.get("high", 0)
    
    return critical <= critical_limit and high <= high_limit

if __name__ == "__main__":
    image = sys.argv[1] if len(sys.argv) > 1 else "latest"
    
    try:
        results = scan_image(image)
        
        if not check_vulnerability_threshold(results):
            print(f"✗ Security threshold exceeded for {image}")
            sys.exit(1)
        
        print(f"✓ Image {image} passed security scan")
        
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(2)

This script integrates seamlessly with CI/CD platforms like Jenkins, GitLab CI, or GitHub Actions.

Integrating with CI/CD Pipelines

Claude Code can help you create pipeline configurations that incorporate Aqua Security scanning at the right stages. Here’s a GitHub Actions example:

name: Container Security Scan
on: [push, pull_request]

jobs:
  aqua-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Build Docker image
        run: docker build -t myapp:${{ github.sha }} .
      
      - name: Run Aqua Security Scan
        run: |
          docker run -d --name aqua \
            -v /var/run/docker.sock:/var/run/docker.sock \
            aquasec/aqua-scanner:latest
          
          docker exec aqua aquactl scan \
            --image myapp:${{ github.sha }} \
            --json > scan-results.json
      
      - name: Check Results
        run: |
          python3 scripts/check-vulns.py scan-results.json

The key is ensuring scans happen early in the pipeline to catch vulnerabilities before they reach production.

Implementing Admission Control Policies

Aqua Security’s admission controller prevents vulnerable or non-compliant containers from being deployed to your cluster. Claude Code can help you craft nuanced policies that balance security with developer productivity.

Writing Admission Control Policies

Admission control policies use Rego language for Open Policy Agent integration. Claude Code can generate these policies based on your security requirements:

# Example: Block images without security scans
package admission

deny[msg] {
    input.request.kind.kind == "Pod"
    not input.request.object.spec.containers[_].image
    
    # Check if image has been scanned by Aqua
    not scan_result[input.request.object.spec.containers[_].image]
    
    msg = "Container image has not been scanned by Aqua Security"
}

When writing admission policies, start permissive and tighten gradually. This approach prevents workflow disruptions while you fine-tune your security posture.

Best Practices for Policy Development

Follow these guidelines when creating admission control policies with Claude Code assistance:

First, implement policy-as-code version control. Store all policies in Git and require reviews before deployment. Claude Code can review your policies and suggest improvements based on common anti-patterns.

Second, maintain policy documentation. For each policy, document the security concern it addresses and the expected impact on deployments. This helps developers understand why their deployments might be blocked.

Third, use policy testing frameworks. Before deploying new policies, test them against representative workloads. Claude Code can help generate test cases that exercise various deployment scenarios.

Managing Runtime Security

Runtime protection monitors containers for suspicious activity after deployment. Aqua Security provides runtime policies that detect anomalies, and Claude Code can help you configure and manage these effectively.

Creating Runtime Detection Rules

Runtime rules monitor container behavior for indicators of compromise. Claude Code can generate baseline detection rules:

# Aqua Security Runtime Policy Example
apiVersion: v1
kind: RuntimePolicy
metadata:
  name: suspicious-process-detection
spec:
  name: Detect Suspicious Processes
  enabled: true
  severity: high
  
  # Monitor for suspicious process execution
  filters:
    - type: process
      match:
        - name: "/bin/sh"
        - name: "/bin/bash"
        - name: "nc"
        - name: "netcat"
      
      # Flag if executed by non-root
      condition: |
        container.privileged == false && 
        user.id != "0"
      
  actions:
    - alert
    - block
    - audit

Responding to Security Alerts

When Aqua Security detects potential threats, rapid response becomes critical. Claude Code can help you develop runbooks for common alert scenarios:

  1. Unauthorized privilege escalation - Review container specifications and recent deployment changes
  2. Suspicious network connections - Identify the source and destination of unusual traffic
  3. Malicious file access - Analyze the file system changes and container provenance
  4. Cryptominer detection - Isolate affected workloads and investigate the attack vector

Streamlining Security Operations

Beyond initial setup, Claude Code helps maintain and improve your security posture over time. Regular tasks include vulnerability management, compliance reporting, and policy refinement.

Generating Compliance Reports

Aqua Security provides detailed findings, but presenting them meaningfully requires effort. Claude Code can help generate formatted reports:

def generate_compliance_report(scan_data: dict) -> str:
    """Generate human-readable compliance summary"""
    
    report = []
    report.append("# Container Security Compliance Report")
    report.append(f"\nGenerated: {datetime.now()}")
    report.append(f"\nTotal Images Scanned: {len(scan_data['images'])}")
    
    critical_issues = []
    for image in scan_data["images"]:
        if image["vulnerabilities"]["critical"] > 0:
            critical_issues.append(image)
    
    if critical_issues:
        report.append(f"\n## Critical Issues Found: {len(critical_issues)}")
        for issue in critical_issues:
            report.append(f"- {issue['name']}: {issue['vulnerabilities']['critical']} critical")
    else:
        report.append("\n✓ No critical vulnerabilities detected")
    
    return "\n".join(report)

Continuous Improvement Workflows

Security isn’t a one-time setup. Establish regular review cycles:

Claude Code can prompt you for these reviews and help document findings and action items.

Conclusion

Integrating Claude Code with Aqua Security transforms container security from a manual burden into an automated, developer-friendly process. By leveraging AI assistance for script generation, policy creation, and operational tasks, teams maintain strong security posture without sacrificing development velocity.

Start with image scanning automation, then progressively add admission control and runtime protection. Claude Code’s ability to understand context and generate relevant code accelerates each step of this journey. Remember that security policies require ongoing tuning—use the feedback loops provided by Aqua Security findings to continuously refine your approach.

The combination of Claude Code’s productivity capabilities and Aqua Security’s comprehensive protection creates a robust foundation for secure container deployments at any scale.

Explore Our Developer Guides

© 2026 theluckystrike Developer Guides