| name | Security Automation |
| category | cybersecurity |
| description | Automating security scanning, compliance checks, incident response, and remediation workflows |
| tags | ["automation","soar","sast","dast","sca","pipeline-security","devsecops"] |
| version | 1.0 |
Security Automation
What I Do
I provide guidance on automating security processes across the software development lifecycle. This includes integrating SAST/DAST/SCA scanning into CI/CD pipelines, automating compliance checks, building security orchestration and automated response (SOAR) workflows, and implementing infrastructure security scanning.
When to Use Me
- Integrating security scanners into CI/CD pipelines
- Automating vulnerability triage and ticket creation
- Building automated incident response playbooks
- Setting up compliance-as-code scanning
- Automating secret detection in repositories
- Creating security guardrails that do not slow down development
Core Concepts
- Shift Left Security: Integrate security testing early in the SDLC to catch vulnerabilities when they are cheapest to fix.
- SAST (Static Application Security Testing): Analyze source code for vulnerability patterns without executing the application.
- DAST (Dynamic Application Security Testing): Test running applications by sending crafted requests to find runtime vulnerabilities.
- SCA (Software Composition Analysis): Identify known vulnerabilities in third-party dependencies and licenses.
- Secret Detection: Scan repositories for accidentally committed credentials, API keys, and tokens.
- Policy as Code: Express security and compliance policies as executable code that can be versioned and tested.
- SOAR: Security Orchestration, Automation, and Response platforms that coordinate tools and automate playbooks.
- Infrastructure Scanning: Scan IaC templates and running infrastructure for misconfigurations.
Code Examples
1. GitHub Actions Security Pipeline
name: Security Scanning
on:
pull_request:
branches: [main]
push:
branches: [main]
jobs:
sast:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Semgrep SAST
uses: returntocorp/semgrep-action@v1
with:
config: p/owasp-top-ten p/python
sca:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Trivy SCA
uses: aquasecurity/trivy-action@master
with:
scan-type: fs
severity: CRITICAL,HIGH
exit-code: 1
secrets:
runs-on: ubuntu-latest
steps:
-
[, , ]
2. Automated Vulnerability Triage (Python)
from typing import List, Dict, Any
from enum import Enum
class Priority(Enum):
CRITICAL = "P0"
HIGH = "P1"
MEDIUM = "P2"
LOW = "P3"
def triage_vulnerability(vuln: Dict[str, Any]) -> Priority:
severity = vuln.get("severity", "").upper()
is_exploitable = vuln.get("exploitable", False)
is_internet_facing = vuln.get("internet_facing", False)
has_fix = vuln.get("fix_available", False)
if severity == "CRITICAL" and is_internet_facing:
return Priority.CRITICAL
if severity == "CRITICAL" or (severity == "HIGH" and is_exploitable):
return Priority.HIGH
if severity == "HIGH" or (severity == "MEDIUM" and is_internet_facing):
return Priority.MEDIUM
return Priority.LOW
def process_scan_results(results: List[Dict[, ]]) -> [, ]:
triaged: [, ] = {p.value: [] p Priority}
vuln results:
priority = triage_vulnerability(vuln)
triaged[priority.value].append(vuln)
triaged
3. Pre-Commit Secret Detection Hook
repos:
- repo: https://github.com/gitleaks/gitleaks
rev: v8.18.0
hooks:
- id: gitleaks
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: detect-private-key
- id: check-added-large-files
args: ['--maxkb=500']
Best Practices
- Fail the build on critical and high severity findings with no known exceptions.
- Use baseline files to track accepted risks and prevent alert fatigue from known issues.
- Run scans incrementally on pull requests to provide fast feedback to developers.
- Automate secret rotation when leaked credentials are detected.
- Centralize scan results in a security dashboard for unified visibility across projects.
- Implement exception workflows that require security team approval with expiration dates.
- Scan infrastructure-as-code templates before applying changes to catch misconfigurations early.
- Integrate scanner findings into developer workflows (IDE plugins, PR comments) for frictionless adoption.
- Measure mean time to remediate (MTTR) by severity to track security posture improvement.
- Test your automation by intentionally introducing known vulnerabilities to verify detection.