Query.AI Federated Detections vs Sesame IT HOSHI: Side-by-Side Comparison (2026)

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..

Sesame IT HOSHI: Curated attack use case platform that feeds threat scenarios into Jizô AI. built by Sesame IT (Jizô AI). Core capabilities include Daily updated library of attack use cases, Automated conversion of threat intelligence into detection rules, Use case selection based on industry and risk exposure..

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

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. Sesame IT HOSHI differentiates with Daily updated library of attack use cases, Automated conversion of threat intelligence into detection rules, Use case selection based on industry and risk exposure.

Query.AI Federated Detections is developed by Query.AI. Sesame IT HOSHI is developed by Sesame IT (Jizô AI). Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Query.AI Federated Detections integrates with SIEM, Cloud services, SaaS platforms, Object storage, Data lakes. Sesame IT HOSHI integrates with Jizô AI. Check integration compatibility with your existing security stack before deciding.

Query.AI Federated Detections and Sesame IT HOSHI 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.