Detection engineering is a repetitive and labor-intensive task that benefits significantly from automation. An n8n-based workflow leveraging large language models automates rule creation, mapping, validation, and reporting to streamline the process. #SigmaRules #MITREATTACK
Keypoints
- The workflow automates the entire detection engineering lifecycle, reducing manual effort and increasing consistency.
- It starts with a chat command to generate detection rules which are then processed by AI agents for development and validation.
- The process includes converting Sigma rules into SIEM-specific queries, such as Splunk SPL, for deployment and testing.
- Validation steps ensure that generated queries are production-ready, accurate, and schema-compliant.
- Automated reports compile all detection artifacts and share them via Teams, email, or other communication platforms.