Implementing Policy As Code With Open Policy Agent

Implementing Policy As Code With Open Policy Agent

Overview

Cybersecurity skill for implementing policy as code with open policy agent. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "implementing policy as code with open policy agent"

• "This skill covers implementing Open Policy Agent (OPA) and Gatekeeper for policy"

• When enforcing organizational security policies across Kubernetes clusters programmatically

• When requiring admission control that blocks non-compliant resources from being created

• When implementing policy governance that can be version-controlled, tested, and audited

• When standardizing security rules across multiple clusters and environments

• When needing a flexible policy engine that extends beyond Kubernetes to APIs and CI/CD

Do not use for vulnerability scanning (use Trivy/Checkov), for runtime threat detection (use Falco), or for network policy enforcement (use Kubernetes NetworkPolicy or Calico).

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Kubernetes cluster with admin access for Gatekeeper installation
• Helm for Gatekeeper deployment
• OPA CLI or conftest for local policy testing
• Rego knowledge for policy authoring

Workflow

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Assess Requirements — Evaluate current environment and define policy as code implementation requirements.
2. Design Architecture — Plan the policy as code architecture, including components, integrations, and data flows.
3. Configure Components — Set up open policy agent for policy as code according to vendor best practices and security guidelines.
4. Test Integration — Validate that all components work together. Run functional and security tests.
5. Deploy to Production — Roll out the implementation with monitoring and rollback capabilities.
6. Validate and Document — Verify the implementation meets requirements. Document configuration and runbooks.

Tools

• open policy agent — Primary tool for this skill
• Configuration Management — Infrastructure as code and automation
• Monitoring Stack — Observability and alerting
• Documentation Platform — Runbooks and architecture docs

Process

1. Design — Define interface, identify patterns, plan implementation
2. Implement — Write code following existing conventions, add tests
3. Verify — Run tests, check integration, validate behavior

Verification

• All policy as code procedures executed completely and documented
• Findings validated against multiple data sources
• False positives identified and filtered
• Results documented with evidence and timestamps
• Recommendations provided with risk-based prioritization

Anti-Rationalization Table