
Federated search platform for querying distributed security data in place.
Federated search platform for querying distributed security data in place.
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.
Common questions about Query.AI Query including features, pricing, alternatives, and user reviews.
Query.AI Query is Federated search platform for querying distributed security data in place, developed by Query.AI. It is a Security Operations solution designed to help security teams with Log Management, Search.
Query.AI Query offers the following core capabilities:
Query.AI Query integrates natively with Amazon Athena (for Amazon S3), Amazon CloudWatch Logs (for AWS WAFv2), Amazon OpenSearch Service, Amazon Redshift, Splunk, Snowflake, Google BigQuery, Amazon S3. Integration support lets security teams connect Query.AI Query to existing SIEM, ticketing, identity, and notification systems without custom development.
Query.AI Query is deployed as a cloud solution, suited to smb, mid-market, enterprise organizations looking to operationalize security operations. The commercial offering is positioned for production security operations with vendor support and SLAs.
Query.AI Query is built for security teams handling Log Management, Search. It supports workflows including federated search across distributed data sources without data duplication or movement, in-flight data normalization, enrichment, correlation, and deduplication, pre-built static and dynamic api connectors to security and business data sources. Teams typically adopt Query.AI Query when they need to security operations capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/queryai-query
Query.AI Query is a commercial Security Operations solution. For detailed pricing information, visit https://www.query.ai/product/ or contact Query.AI directly.
Popular alternatives to Query.AI Query include:
Compare all Query.AI Query alternatives at https://cybersectools.com/alternatives/queryai-query
Query.AI Query is for security teams and organizations that need Log Management, Search. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security Operations tools can be found at https://cybersectools.com/categories/security-operations
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