Implementing Aqua Security for Container Scanning
Overview
Aqua Security provides Trivy, the world's most popular open-source universal security scanner, designed to find vulnerabilities, misconfigurations, secrets, SBOM data, and license issues in containers, Kubernetes, code repositories, and cloud environments. Trivy covers OS packages (Alpine, Debian, Ubuntu, RHEL, etc.) and language-specific dependencies (npm, pip, Maven, Go modules, Cargo, etc.) with vulnerability databases sourced from NVD, vendor advisories, and GitHub Security Advisories. The enterprise Aqua Platform extends Trivy with centralized policy management, runtime protection, and compliance reporting.
Prerequisites
- Docker installed for local image scanning
- CI/CD platform (GitHub Actions, GitLab CI, Jenkins, etc.)
- Container registry access (Docker Hub, ECR, GCR, ACR, Harbor)
- Trivy CLI (
trivy) or Trivy Operator for Kubernetes - Aqua Platform license for enterprise features (optional)
Core Scanning Capabilities
Image Vulnerability Scanning
Trivy scans container images layer by layer, identifying CVEs in OS packages and application dependencies. It supports scanning local images, remote registry images, and tar archives.
# Scan a remote image
trivy image python:3.11-slim
# Scan with severity filter
trivy image --severity HIGH,CRITICAL nginx:latest
# Scan and fail CI if critical CVEs found
trivy image --exit-code 1 --severity CRITICAL myapp:latest
# Generate SBOM in CycloneDX format
trivy image --format cyclonedx --output sbom.json myapp:latest
Filesystem and Repository Scanning
# Scan project directory for vulnerabilities in dependencies
trivy fs --scanners vuln,secret,misconfig .
# Scan a specific lockfile
trivy fs --scanners vuln package-lock.json
# Scan git repository
trivy repo https://github.com/org/project
Kubernetes Scanning with Trivy Operator
The Trivy Operator runs inside a Kubernetes cluster and continuously scans workloads:
# Install Trivy Operator via Helm
helm repo add aqua https://aquasecurity.github.io/helm-charts/
helm repo update
helm install trivy-operator aqua/trivy-operator \
--namespace trivy-system \
--create-namespace \
--set trivy.severity="HIGH,CRITICAL" \
--set operator.scanJobTimeout="5m"
The operator creates VulnerabilityReport and ConfigAuditReport custom resources for each workload.
IaC Misconfiguration Scanning
# Scan Terraform files
trivy config --severity HIGH,CRITICAL ./terraform/
# Scan Dockerfile for misconfigurations
trivy config Dockerfile
# Scan Kubernetes manifests
trivy config ./k8s-manifests/
CI/CD Integration
GitHub Actions
name: Container Security Scan
on:
push:
branches: [main]
pull_request:
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build Docker image
run: docker build -t myapp:${{ github.sha }} .
- name: Run Trivy vulnerability scanner
uses: aquasecurity/trivy-action@master
with:
image-ref: 'myapp:${{ github.sha }}'
format: 'sarif'
output: 'trivy-results.sarif'
severity: 'CRITICAL,HIGH'
exit-code: '1'
- name: Upload Trivy scan results to GitHub Security tab
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
sarif_file: 'trivy-results.sarif'
GitLab CI
container_scanning:
stage: security
image:
name: aquasec/trivy:latest
entrypoint: [""]
variables:
FULL_IMAGE_NAME: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA
script:
- trivy image --exit-code 0 --format template --template "@/contrib/gitlab.tpl"
--output gl-container-scanning-report.json $FULL_IMAGE_NAME
- trivy image --exit-code 1 --severity CRITICAL $FULL_IMAGE_NAME
artifacts:
reports:
container_scanning: gl-container-scanning-report.json
Jenkins Pipeline
pipeline {
agent any
stages {
stage('Build') {
steps {
sh 'docker build -t myapp:${BUILD_NUMBER} .'
}
}
stage('Security Scan') {
steps {
sh '''
trivy image --exit-code 1 \
--severity HIGH,CRITICAL \
--format json \
--output trivy-report.json \
myapp:${BUILD_NUMBER}
'''
}
post {
always {
archiveArtifacts artifacts: 'trivy-report.json'
}
}
}
}
}
Policy Configuration
Trivy Policy with OPA/Rego
Create .trivy/policy.rego for custom policy enforcement:
package trivy
deny[msg] {
input.Results[_].Vulnerabilities[_].Severity == "CRITICAL"
msg := "Critical vulnerabilities found in image"
}
deny[msg] {
input.Results[_].Vulnerabilities[vuln]
vuln.FixedVersion != ""
vuln.Severity == "HIGH"
msg := sprintf("Fixable HIGH vulnerability: %s", [vuln.VulnerabilityID])
}
Ignore File Configuration
Create .trivyignore for accepted risks:
# Accepted risk: vulnerability in test dependency only
CVE-2023-12345
# Accepted until expiry date
CVE-2024-67890 exp:2025-06-01
SBOM Generation and Management
# Generate CycloneDX SBOM
trivy image --format cyclonedx --output sbom-cyclonedx.json myapp:latest
# Generate SPDX SBOM
trivy image --format spdx-json --output sbom-spdx.json myapp:latest
# Scan an existing SBOM for new vulnerabilities
trivy sbom sbom-cyclonedx.json
Monitoring and Reporting
| Metric | Description | Target |
|---|---|---|
| Images scanned per day | Total images passing through scanning pipeline | All production images |
| Critical CVE count | Open critical vulnerabilities across all images | 0 in production |
| Mean time to patch | Average days from CVE publication to patched image | < 7 days |
| SBOM coverage | Percentage of production images with generated SBOMs | 100% |
| Scan duration | Average time per image scan | < 2 minutes |
Verification Criteria
Confirm successful execution by validating:
- [ ] All prerequisite tools and access requirements are satisfied
- [ ] Each workflow step completed without errors
- [ ] Output matches expected format and contains expected data
- [ ] No security warnings or misconfigurations detected
- [ ] Results are documented and evidence is preserved for audit
Compliance Framework Mapping
This skill supports compliance evidence collection across multiple frameworks:
- SOC 2: CC8.1 (Change Management), CC6.1 (Logical Access)
- ISO 27001: A.14.2 (Secure Development), A.12.1 (Operational Procedures)
- NIST 800-53: SA-11 (Developer Testing), CM-3 (Configuration Change Control), SA-15 (Development Process)
- NIST CSF: PR.IP (Information Protection), PR.DS (Data Security)
Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.
Deploying This Skill with Claw GRC
Agent Execution
Register this skill with your Claw GRC agent for automated execution:
# Install via CLI
npx claw-grc skills add implementing-aqua-security-for-container-scanning
# Or load dynamically via MCP
grc.load_skill("implementing-aqua-security-for-container-scanning")
Audit Trail Integration
When executed through Claw GRC, every step of this skill generates tamper-evident audit records:
- SHA-256 chain hashing ensures no step can be modified after execution
- Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
- Trust score impact — successful execution increases your agent's trust score
Continuous Compliance
Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.