detections.ai Detections vs Query.AI Federated Detections: Side-by-Side Comparison (2026)

detections.ai Detections: Community platform for sharing and creating detection rules with AI. built by detections.ai. Core capabilities include Community-driven detection rule sharing platform, Detection rule discovery from GitHub, users, and vendors, Support for SIGMA, KQL, and SPL detection formats..

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 Threat Hunting market but differ in approach, feature depth, and target audience.

detections.ai Detections differentiates with Community-driven detection rule sharing platform, Detection rule discovery from GitHub, users, and vendors, Support for SIGMA, KQL, and SPL detection formats. Query.AI Federated Detections differentiates with 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.

detections.ai Detections is developed by detections.ai. 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.

detections.ai Detections and Query.AI Federated Detections serve similar Threat Hunting use cases: both are Threat Hunting tools, both cover Detection Rules. Review the feature comparison above to determine which fits your requirements.