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Detection-as-Code Pipeline

CI/CD for your detection rules

Most security teams still manage detection rules in a SIEM GUI. No version history, no review process, no tests. I build you a proper engineering workflow: rules in version control, automated validation on every PR, and deployment to your SIEM/EDR via API. Your team ships detections like software.

Deliverables

  • Git repository with structured rule format and your existing rules migrated in
  • CI/CD pipeline with syntax validation, schema checks, and unit tests
  • Automated deployment to your SIEM/EDR platform
  • Onboarding documentation so your team can use it without me

What the Repo Looks Like

detections/
  credential_access/
    brute_force_ad_auth.yml
    lsass_memory_dump.yml
  execution/
    powershell_download_cradle.yml
    mshta_remote_hta.yml
tests/
  test_brute_force_ad_auth.py
  test_powershell_download_cradle.py
.github/workflows/
  validate.yml        # lint + schema check on PR
  deploy.yml          # push to SIEM on merge to main
schemas/
  rule_schema.json    # enforced rule structure
docs/
  onboarding.md       # how to add/edit/deploy rules
  architecture.md     # how the pipeline works

Rules are organized by ATT&CK tactic, validated automatically, and deployed on merge. Your existing rules get migrated into the new format.

CI/CD Workflow

1

Author

An analyst writes or edits a detection rule in the repo using the standardized YAML format.

2

Pull request

On PR, the pipeline automatically validates syntax, checks the rule against the schema, and runs unit tests with sample log data.

3

Review

A second analyst reviews the rule logic, tuning notes, and test results. Standard code review process.

4

Deploy

On merge to main, the pipeline pushes the rule to your SIEM/EDR via API. No manual GUI clicks, no copy-paste errors.

Timeline

4–6 weeks

Pricing

Starting at $15K

What You Provide

Your SIEM/EDR platform, API access or sandbox environment, and a sample of existing rules

Ready to get started?