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

Anvilogic AI SOC: AI-powered SOC platform for detection engineering across SIEMs & data lakes. built by Anvilogic. Core capabilities include Detection-as-code builder for use case development, AI-driven detection recommendations and automated tuning, MITRE ATT&CK framework mapping and gap analysis..

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.

Anvilogic AI SOC differentiates with Detection-as-code builder for use case development, AI-driven detection recommendations and automated tuning, MITRE ATT&CK framework mapping and gap analysis. 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.

Anvilogic AI SOC is developed by Anvilogic founded in 2019-01-01T00:00:00.000Z. 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.

Anvilogic AI SOC integrates with Databricks. Query.AI Federated Detections integrates with SIEM, Cloud services, SaaS platforms, Object storage, Data lakes. Check integration compatibility with your existing security stack before deciding.

Anvilogic AI SOC 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.