Query.AI Query

Query is a federated search platform that enables security teams to search and retrieve data across distributed sources without centralizing, duplicating, or moving data. It acts as an API bridge between analysts and their security-relevant data, regardless of where it resides — including SIEMs, data lakes, data warehouses, cloud storage, SaaS applications, on-premises systems, and business applications such as ERP and HRIS. Query uses pre-built API connectors (both static and dynamic) to integrate with data sources. Static connectors apply fixed schema mappings to deliver pre-normalized data, while dynamic connectors support custom schema configurations for platforms with flexible data structures. Data normalization, enrichment, correlation, deduplication, and exploration are performed in-flight, without the use of pipelines, SDKs, or external preprocessing tools. This means data is never stored or duplicated by Query itself. Analysts interact with a single search interface using natural language queries, and can pivot across data sources within the same session. The platform supports real-time and historical data access, including event logs, CMDB entries, and security findings. Query is positioned to reduce SIEM ingestion and storage costs by enabling access to data that does not need to be centralized. It supports security use cases including incident investigation, threat hunting, and detection engineering across environments containing multiple SIEMs, data lakes, endpoint tools, identity systems, and other security stack components.