A generic and open signature format for describing log event detections, shareable across SIEM systems.
Sigma is a generic and open signature format for describing log event detections in a structured YAML format. It solves the problem of vendor lock-in by allowing security teams to write detection rules once and convert them to various SIEM query languages, facilitating sharing and collaboration across the security community.
Detection engineers, threat hunters, defensive security practitioners, and SOC analysts who need to create, share, and implement detection rules across different SIEM platforms.
Developers choose Sigma because it provides a vendor-agnostic, community-driven repository of over 3000 peer-reviewed rules, eliminating the need to rewrite detections for each SIEM and improving collective defense capabilities through open collaboration.
Main Sigma Rule Repository
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Rules are written in a flexible YAML format applicable to any log type, allowing conversion to various SIEM query languages via tools like Sigma CLI, as highlighted by integrations with IBM QRadar and Security Onion.
Over 3000 peer-reviewed detection, hunting, compliance, and emerging threat rules are maintained by security practitioners, providing a vast, collaborative library for common threats.
The open format and tools like pySigma enable straightforward sharing and conversion across SIEMs, improving collective defense capabilities without vendor lock-in.
Includes generic detection, threat hunting, compliance, and emerging threat rules, offering comprehensive coverage for different security use cases, as seen in the repository structure.
Rules must be converted to specific SIEM languages using external tools, which can introduce inaccuracies or require manual tweaking for optimal performance, as admitted in the reliance on backends like pySigma.
Sigma is designed solely for log data detection, unlike YARA for files or Snort for network traffic, making it unsuitable for other security domains without additional tools.
For custom or obscure log sources, creating effective rules requires deep knowledge of log schemas and may involve tedious mapping during conversion, limiting out-of-the-box usability.