As threat landscapes evolve, managing and trusting detection rules has become as critical as creating them. Detection engineering teams struggle with rule duplication, inconsistent quality, false positives, and the lack of a trusted, community-driven repository to share validated rules.

Rulezet is an open-source framework and platform designed to address these challenges. It provides a unified way to normalize, validate, and manage detection rules across multiple formats while fostering a collaborative ecosystem where rule authors, analysts, and engineers can review, evaluate, and improve detection logic together.

In this 90-minute workshop, we’ll explore how Rulezet enables a community-based approach to rule management — from initial authoring to peer review, version control, and false-positive tracking. We’ll examine how the Rulezet core engine parses and validates rule formats, ensuring consistency and interoperability across detection tools. Participants will also learn how to extend Rulezet with new rule types, interact with its API, and contribute to the Rulezet.org community — a shared repository of trusted detection rules.

Through live demos and discussion, we’ll address practical aspects such as:

• How to reduce false positives through shared rule reviews and metadata enrichment.
• How to establish trust and transparency via verifiable rule origins and author reputation.
• How to evaluate parsing quality and conversion accuracy across formats (e.g., Sigma, YARA, Suricata).
• How to integrate community-reviewed rules into your SOC pipelines securely and efficiently.

Whether you are a detection engineer, SOC analyst, or open-source contributor, this workshop will show how Rulezet can help you build confidence in detection logic, enhance collaboration, and shape the future of trusted detection rule sharing.