Policy-as-Code with Open Policy Agent

Overview

This skill enables policy-as-code enforcement using Open Policy Agent (OPA) for compliance validation, security policy enforcement, and configuration auditing. OPA provides a unified framework for policy evaluation across cloud-native environments, Kubernetes, CI/CD pipelines, and infrastructure-as-code.

Use OPA to codify security requirements, compliance controls, and organizational standards as executable policies written in Rego. Automatically validate configurations, prevent misconfigurations, and maintain continuous compliance.

Quick Start

Install OPA

# macOS
brew install opa

# Linux
curl -L -o opa https://openpolicyagent.org/downloads/latest/opa_linux_amd64
chmod +x opa

# Verify installation
opa version

Basic Policy Evaluation

# Evaluate a policy against input data
opa eval --data policy.rego --input input.json 'data.example.allow'

# Test policies with unit tests
opa test policy.rego policy_test.rego --verbose

# Run OPA server for live policy evaluation
opa run --server --addr localhost:8181

Core Workflow

Step 1: Define Policy Requirements

Identify compliance requirements and security controls to enforce:

• Compliance frameworks (SOC2, PCI-DSS, GDPR, HIPAA, NIST)
• Kubernetes security policies (pod security, RBAC, network policies)
• Infrastructure-as-code policies (Terraform, CloudFormation)
• Application security policies (API authorization, data access)
• Organizational security standards

Step 2: Write OPA Rego Policies

Create policy files in Rego language. Use the provided templates in

assets/

for common patterns:

Example: Kubernetes Pod Security Policy

package kubernetes.admission

import future.keywords.contains
import future.keywords.if

deny[msg] {
    input.request.kind.kind == "Pod"
    container := input.request.object.spec.containers[_]
    container.securityContext.privileged == true
    msg := sprintf("Privileged containers are not allowed: %v", [container.name])
}

deny[msg] {
    input.request.kind.kind == "Pod"
    container := input.request.object.spec.containers[_]
    not container.securityContext.runAsNonRoot
    msg := sprintf("Container must run as non-root: %v", [container.name])
}

Example: Compliance Control Validation (SOC2)

package compliance.soc2

import future.keywords.if

# CC6.1: Logical and physical access controls
deny[msg] {
    input.kind == "Deployment"
    not input.spec.template.metadata.labels["data-classification"]
    msg := "SOC2 CC6.1: All deployments must have data-classification label"
}

# CC6.6: Encryption in transit
deny[msg] {
    input.kind == "Service"
    input.spec.type == "LoadBalancer"
    not input.metadata.annotations["service.beta.kubernetes.io/aws-load-balancer-ssl-cert"]
    msg := "SOC2 CC6.6: LoadBalancer services must use SSL/TLS encryption"
}

Step 3: Test Policies with Unit Tests

Write comprehensive tests for policy validation:

package kubernetes.admission_test

import data.kubernetes.admission

test_deny_privileged_container {
    input := {
        "request": {
            "kind": {"kind": "Pod"},
            "object": {
                "spec": {
                    "containers": [{
                        "name": "nginx",
                        "securityContext": {"privileged": true}
                    }]
                }
            }
        }
    }
    count(admission.deny) > 0
}

test_allow_unprivileged_container {
    input := {
        "request": {
            "kind": {"kind": "Pod"},
            "object": {
                "spec": {
                    "containers": [{
                        "name": "nginx",
                        "securityContext": {"privileged": false, "runAsNonRoot": true}
                    }]
                }
            }
        }
    }
    count(admission.deny) == 0
}

Run tests:

opa test . --verbose

Step 4: Evaluate Policies Against Configuration

Use the bundled evaluation script for policy validation:

# Evaluate single file
./scripts/evaluate_policy.py --policy policies/ --input config.yaml

# Evaluate directory of configurations
./scripts/evaluate_policy.py --policy policies/ --input configs/ --recursive

# Output results in JSON format for CI/CD integration
./scripts/evaluate_policy.py --policy policies/ --input config.yaml --format json

Or use OPA directly:

# Evaluate with formatted output
opa eval --data policies/ --input config.yaml --format pretty 'data.compliance.violations'

# Bundle evaluation for complex policies
opa eval --bundle policies.tar.gz --input config.yaml 'data'

Step 5: Integrate with CI/CD Pipelines

Add policy validation to your CI/CD workflow:

GitHub Actions Example:

- name: Validate Policies
  uses: open-policy-agent/setup-opa@v2
  with:
    version: latest

- name: Run Policy Tests
  run: opa test policies/ --verbose

- name: Evaluate Configuration
  run: |
    opa eval --data policies/ --input deployments/ \
      --format pretty 'data.compliance.violations' > violations.json

    if [ $(jq 'length' violations.json) -gt 0 ]; then
      echo "Policy violations detected!"
      cat violations.json
      exit 1
    fi

GitLab CI Example:

policy-validation:
  image: openpolicyagent/opa:latest
  script:
    - opa test policies/ --verbose
    - opa eval --data policies/ --input configs/ --format pretty 'data.compliance.violations'
  artifacts:
    reports:
      junit: test-results.xml

Step 6: Deploy as Kubernetes Admission Controller

Enforce policies at cluster level using OPA Gatekeeper:

# Install OPA Gatekeeper
kubectl apply -f https://raw.githubusercontent.com/open-policy-agent/gatekeeper/master/deploy/gatekeeper.yaml

# Apply constraint template
kubectl apply -f assets/k8s-constraint-template.yaml

# Apply constraint
kubectl apply -f assets/k8s-constraint.yaml

# Test admission control
kubectl apply -f test-pod.yaml  # Should be denied if violates policy

Step 7: Monitor Policy Compliance

Generate compliance reports using the bundled reporting script:

# Generate compliance report
./scripts/generate_report.py --policy policies/ --audit-logs audit.json --output compliance-report.html

# Export violations for SIEM integration
./scripts/generate_report.py --policy policies/ --audit-logs audit.json --format json --output violations.json

Security Considerations

• Policy Versioning: Store policies in version control with change tracking and approval workflows
• Least Privilege: Grant minimal permissions for policy evaluation - OPA should run with read-only access to configurations
• Sensitive Data: Avoid embedding secrets in policies - use external data sources or encrypted configs
• Audit Logging: Log all policy evaluations, violations, and exceptions for compliance auditing
• Policy Testing: Maintain comprehensive test coverage (>80%) for all policy rules
• Separation of Duties: Separate policy authors from policy enforcers; require peer review for policy changes
• Compliance Mapping: Map policies to specific compliance controls (SOC2 CC6.1, PCI-DSS 8.2.1) for audit traceability

Bundled Resources

Scripts (

scripts/

)

• evaluate_policy.py

  - Evaluate OPA policies against configuration files with formatted output

• generate_report.py

  - Generate compliance reports from policy evaluation results

• test_policies.sh

  - Run OPA policy unit tests with coverage reporting

References (

references/

)

• rego-patterns.md

  - Common Rego patterns for security and compliance policies

• compliance-frameworks.md

  - Policy templates mapped to SOC2, PCI-DSS, GDPR, HIPAA controls

• kubernetes-security.md

  - Kubernetes security policies and admission control patterns

• iac-policies.md

  - Infrastructure-as-code policy validation for Terraform, CloudFormation

Assets (

assets/

)

• k8s-pod-security.rego

  - Kubernetes pod security policy template

• k8s-constraint-template.yaml

  - OPA Gatekeeper constraint template

• k8s-constraint.yaml

  - Example Gatekeeper constraint configuration

• soc2-compliance.rego

  - SOC2 compliance controls as OPA policies

• pci-dss-compliance.rego

  - PCI-DSS requirements as OPA policies

• gdpr-compliance.rego

  - GDPR data protection policies

• terraform-security.rego

  - Terraform security best practices policies

• ci-cd-pipeline.yaml

  - CI/CD integration examples (GitHub Actions, GitLab CI)

Common Patterns

Pattern 1: Kubernetes Admission Control

Enforce security policies at pod creation time:

package kubernetes.admission

deny[msg] {
    input.request.kind.kind == "Pod"
    not input.request.object.spec.securityContext.runAsNonRoot
    msg := "Pods must run as non-root user"
}

Pattern 2: Infrastructure-as-Code Validation

Validate Terraform configurations before apply:

package terraform.security

deny[msg] {
    resource := input.resource_changes[_]
    resource.type == "aws_s3_bucket"
    not resource.change.after.server_side_encryption_configuration
    msg := sprintf("S3 bucket %v must have encryption enabled", [resource.name])
}

Pattern 3: Compliance Framework Mapping

Map policies to specific compliance controls:

package compliance.soc2

# SOC2 CC6.1: Logical and physical access controls
cc6_1_violations[msg] {
    input.kind == "RoleBinding"
    input.roleRef.name == "cluster-admin"
    msg := sprintf("SOC2 CC6.1 VIOLATION: cluster-admin binding for %v", [input.metadata.name])
}

Pattern 4: Data Classification Enforcement

Enforce data handling policies based on classification:

package data.classification

deny[msg] {
    input.metadata.labels["data-classification"] == "restricted"
    input.spec.template.spec.volumes[_].hostPath
    msg := "Restricted data cannot use hostPath volumes"
}

Pattern 5: API Authorization Policies

Implement attribute-based access control (ABAC):

package api.authz

import future.keywords.if

allow if {
    input.method == "GET"
    input.path[0] == "public"
}

allow if {
    input.method == "GET"
    input.user.role == "admin"
}

allow if {
    input.method == "POST"
    input.user.role == "editor"
    input.resource.owner == input.user.id
}

Integration Points

• CI/CD Pipelines: GitHub Actions, GitLab CI, Jenkins, CircleCI - validate policies before deployment
• Kubernetes: OPA Gatekeeper admission controller for runtime policy enforcement
• Terraform/IaC: Pre-deployment validation using

  conftest

  or OPA CLI
• API Gateways: Kong, Envoy, NGINX - authorize requests using OPA policies
• Monitoring/SIEM: Export policy violations to Splunk, ELK, Datadog for security monitoring
• Compliance Tools: Integrate with compliance platforms for control validation and audit trails

Troubleshooting

Issue: Policy Evaluation Returns Unexpected Results

Solution:

• Enable trace mode:

  opa eval --data policy.rego --input input.json --explain full 'data.example.allow'

• Validate input data structure matches policy expectations
• Check for typos in policy rules or variable names
• Use

  opa fmt

  to format policies and catch syntax errors

Issue: Kubernetes Admission Control Not Blocking Violations

Solution:

• Verify Gatekeeper is running:

  kubectl get pods -n gatekeeper-system

• Check constraint status:

  kubectl get constraints

• Review audit logs:

  kubectl logs -n gatekeeper-system -l control-plane=controller-manager

• Ensure constraint template is properly defined and matches policy expectations

Issue: Policy Tests Failing

Solution:

• Run tests with verbose output:

  opa test . --verbose

• Check test input data matches expected format
• Verify policy package names match between policy and test files
• Use

  print()

  statements in Rego for debugging

Issue: Performance Degradation with Large Policy Sets

Solution:

• Use policy bundles:

  opa build policies/ -o bundle.tar.gz

• Enable partial evaluation for complex policies
• Optimize policy rules to reduce computational complexity
• Index data for faster lookups using

  input.key

  patterns
• Consider splitting large policy sets into separate evaluation domains

References

• OPA Documentation
• Rego Language Reference
• OPA Gatekeeper
• Conftest
• OPA Kubernetes Tutorial
• SOC2 Security Controls
• PCI-DSS Requirements
• GDPR Compliance Guide