Cybereason Threat Hunting vs Query.AI Federated Detections: Side-by-Side Comparison (2026)

Cybereason Threat Hunting: Proactive threat hunting platform for detecting and investigating attacks. built by Cybereason. Core capabilities include Proactive threat hunting for unknown attacks, MalOps-based investigation and correlation, Event pivoting without complex queries..

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.

Cybereason Threat Hunting differentiates with Proactive threat hunting for unknown attacks, MalOps-based investigation and correlation, Event pivoting without complex queries. 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.

Cybereason Threat Hunting is developed by Cybereason. Query.AI Federated Detections is developed by Query.AI. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

Cybereason Threat Hunting and Query.AI Federated Detections serve similar Threat Hunting use cases. Review the feature comparison above to determine which fits your requirements.