Implementing Infrastructure As Code Security Scanning

---
name: implementing-infrastructure-as-code-security-scanning
description: Use when this skill covers implementing automated security scanning for
  Infrastructure as Code (IaC) templates using tools like Checkov, tfsec, and KICS.
  It addresses detecting misconfigurations in Terraform, CloudFormation, Kubernetes
  manifests, and Helm charts before deployment, establishing policy-based governance,
  and integrating IaC scanning into CI/CD pipelines to prevent insecure cloud resource
  provisioning.
domain: cybersecurity
tags:
- devsecops
- cicd
- iac-security
- checkov
- tfsec
- terraform
- secure-sdlc
subdomain: devsecops
version: 1.0.0
author: oyi77
license: Apache-2.0
nist_csf:
- PR.PS-01
- GV.SC-07
- ID.IM-04
- PR.PS-04
category: cybersecurity
---

# Implementing Infrastructure As Code Security Scanning

## Overview

Cybersecurity skill for implementing infrastructure as code security scanning. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "implementing infrastructure as code security scanning"
- "This skill covers implementing automated security scanning for Infrastructure as"


- When provisioning cloud infrastructure with Terraform, CloudFormation, or Pulumi and needing automated security validation
- When compliance frameworks require evidence of infrastructure configuration review before deployment
- When preventing common cloud misconfigurations like public S3 buckets, open security groups, or unencrypted storage
- When establishing guardrails that block insecure infrastructure changes in pull requests
- When managing multi-cloud environments requiring consistent security policies across AWS, Azure, and GCP

**Do not use** for scanning application source code (use SAST), for monitoring already-deployed infrastructure drift (use cloud security posture management tools), or for container image vulnerability scanning (use Trivy).


## 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

- Checkov v3.x installed (`pip install checkov`) or tfsec installed
- Terraform, CloudFormation, or Kubernetes IaC files in the repository
- CI/CD pipeline with access to IaC directories
- Bridgecrew API key (optional, for Checkov platform integration)

## Workflow

```python
# 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 infrastructure as code security scanning implementation requirements.
2. **Design Architecture** — Plan the infrastructure as code security scanning architecture, including components, integrations, and data flows.
3. **Configure Components** — Set up and configure each infrastructure as code security scanning component according to best practices.
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

- **Configuration Management** — Infrastructure as code and automation
- **Monitoring Stack** — Observability and alerting
- **Documentation Platform** — Runbooks and architecture docs


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All infrastructure as code security scanning 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

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |