Overview
The unit of Git-backed detection engineering: content as YAML in a per-workspace repository, change requests for review, workspace roles, and a governed release pipeline.
What it is
A workspace is a project with its own Git repository, the source of truth for its detections, sourcetypes, deployment targets, automations and release artifacts. Content changes are commits, so they are versioned, reviewable and diffable; Postgres holds the working copy the UI reads, plus the things that never live in Git (users, credentials, change-request approvals, validation and run history).
How it works
Change requests & deploys
Detections reach a SIEM through the release pipeline, built from what is committed on main. Splunk gets a Talon app package (its detections as savedsearches.conf); Sentinel, Elastic and Chronicle get one rule per detection (an analytics-rule JSON, a detection-rule JSON and a YARA-L rule), converted from Sigma by the bundled pySigma service.