Query.AI Federated Detections
Runs security detections across distributed data sources without SIEM ingestion.
Query.AI Federated Detections
Runs security detections across distributed data sources without SIEM ingestion.
Data verified May 2026
ADYour product here. Reach security decision-makers.Launch a campaignQuery.AI Federated Detections Description
Query Federated Detections is a detection engine that runs security detection logic directly against distributed data sources without requiring data to be centralized or ingested into a SIEM first. It operates via the Query Security Data Mesh, allowing detections to execute across cloud services, SaaS platforms, security tools, object storage, data lakes, and SIEMs wherever the data resides. Detections are defined as scheduled queries written in Federated Search Query Language (FSQL), which supports windowed aggregations, rate calculations, grouping by users/identities/IPs/resources/assets, and threshold-based match conditions. Each detection runs on a defined cadence with an explicit evaluation window, and execution metadata — including time range evaluated, source coverage, and match counts — is recorded for auditability. When a detection fires, a finding is generated along with a replay link that allows analysts to rerun the exact detection logic against the original time window. From findings, analysts can review normalized results across contributing sources and pivot into related entities and events using federated search. Detection authoring is supported natively in FSQL, with additional options to convert from SPL, KQL, or Sigma rules, generate FSQL from natural language prompts, or start from a library of 1,000+ pre-built detection recipes. Findings can be delivered to chat, ticketing, and incident response tools already in use. No ETL pipelines, data duplication, or centralized storage is required.
Query.AI Federated Detections FAQ
Common questions about Query.AI Federated Detections including features, pricing, alternatives, and user reviews.
Query.AI Federated Detections is Runs security detections across distributed data sources without SIEM ingestion, developed by Query.AI. It is a Security Operations solution designed to help security teams with Detection Rules, Sigma.
Query.AI Federated Detections offers the following core capabilities:
1.Federated detection execution across distributed data sources without ETL or data centralization
2.Detections authored in Federated Search Query Language (FSQL) with windowed aggregations, grouping, and threshold logic
3.Deterministic, scheduled detection execution with recorded evaluation windows and audit metadata
4.Threshold-driven early termination for efficient detection across high-volume data
5.Replay links that rerun exact detection logic against the original time window for investigation
6.Detection authoring via native FSQL, SPL/KQL/Sigma translation, natural language prompts, or pre-built recipes
7.Library of 1,000+ FSQL detection recipes for bootstrapping coverage
8.Finding delivery to chat, ticketing, and incident response tools
Query.AI Federated Detections integrates natively with SIEM, Cloud services, SaaS platforms, Object storage, Data lakes. Integration support lets security teams connect Query.AI Federated Detections to existing SIEM, ticketing, identity, and notification systems without custom development.
Query.AI Federated Detections is deployed as a cloud solution, suited to 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 Federated Detections is built for security teams handling Detection Rules, Sigma. It supports workflows including 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. Teams typically adopt Query.AI Federated Detections when they need to security operations capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/queryai-federated-detections
Query.AI Federated Detections is a commercial Security Operations solution. For detailed pricing information, visit https://www.query.ai/product/federated-detections/ or contact Query.AI directly.
Popular alternatives to Query.AI Federated Detections include:
1.Managed Agentic Threat Hunting - Managed Agentic Threat Hunting Service (IOC sweeps and hypothesis based hunting) (Commercial)
2.SOC Prime Threat Detection Marketplace - Threat detection marketplace with Sigma rules for SIEM and shift-left detection (Commercial)
3.ThreatScout - Federated SecOps platform for threat hunting across SIEMs, EDRs & data lakes. (Commercial)
4.TruKno - Agentic AI threat hunting platform with real-time MITRE ATT&CK intelligence. (Commercial)
5.detections.ai Detections - Community platform for sharing and creating detection rules with AI (Commercial)
Compare all Query.AI Federated Detections alternatives at https://cybersectools.com/alternatives/queryai-federated-detections
Query.AI Federated Detections is for security teams and organizations that need Detection Rules, Sigma. 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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