Detection Lab

A hands-on repository for implementing Detection as Code. This repo demonstrates building, testing, and deploying security detections using a CI/CD pipeline, making detection engineering repeatable, reliable, and automated.

Features

• Detection as Code: Treat your detection rules like software, with version control and automated testing.
• CI/CD Pipeline: Automate validation, testing, and deployment of detection rules.
• Detection Rules: Ready-to-use templates for common attack patterns and suspicious behaviours.
• Testing Frameworks: Simulate events and validate detection logic before deployment.
• Observability Integration: Connect detections to SIEMs, log pipelines, and monitoring platforms.
• Workflow Best Practices: Guidance for scalable and maintainable detection engineering.

Getting Started

1. Clone the repository

   git clone https://github.com/jaamaal/detection-lab.git
   cd detection-lab

2. Install Dependencies
   (Include instructions for Python, Node.js, or any runtime required.)

3. Run Examples

   python examples/test_detection.py

4. Add Your Own Detections
   Follow the templates in /rules to create new detection logic.

How It Works

1. Write detection rules as code.
2. Commit changes to the repository.
3. CI/CD pipeline automatically runs tests and validation.
4. Deploy tested detections to your monitoring or SIEM environment.
5. Monitor alerts and iterate on rules as needed.

Contributing

We welcome contributions! To contribute:

1. Fork the repo
2. Create a feature branch (git checkout -b feature-name)
3. Submit a pull request with a clear description and test coverage

License

This project is licensed under the MIT License. See the LICENSE file for details.