Detection Rules vs Query.AI Federated Detections: Side-by-Side Comparison (2026)

Detection Rules: Home for rules used by Elastic Security with code for unit testing, Kibana integration, and Red Team Automation..

Query.AI Federated Detections: Runs security detections across distributed data sources without SIEM ingestion. built by Query.AI. Core capabilities include Federated detection execution across distributed data sources without ETL or data centralization, Detections authored in Federated Search Query Language (FSQL) with windowed aggregations, grouping, and threshold logic, Deterministic, scheduled detection execution with recorded evaluation windows and audit metadata..

Both serve the Detection Engineering market but differ in approach, feature depth, and target audience.

Detection Rules is open-source with 2,523 GitHub stars. Query.AI Federated Detections is developed by Query.AI. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Detection Rules and Query.AI Federated Detections serve similar Detection Engineering use cases: both are Detection Engineering tools, both cover Detection Rules. Key differences: Detection Rules is Free while Query.AI Federated Detections is Commercial, Detection Rules is open-source. Review the feature comparison above to determine which fits your requirements.