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

Cotool: AI agent platform for SecOps automation, detection tuning, and threat hunting. built by Cotool. Core capabilities include Automated detection rule authoring and tuning, Autonomous agent deployment for monitoring and triage, Detection as code implementation..

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.

Cotool differentiates with Automated detection rule authoring and tuning, Autonomous agent deployment for monitoring and triage, Detection as code implementation. 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.

Cotool is developed by Cotool. 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.

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