Features, pricing, ratings, and pros & cons — compared head-to-head.
LogCraft Detection Engineering is a commercial detection engineering tool by LogCraft. Query.AI Federated Detections is a commercial detection engineering tool by Query.AI. Compare features, ratings, integrations, and community reviews side by side to find the best detection engineering fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
LogCraft Detection Engineering
Security teams managing detection rules across multiple platforms,Splunk, CrowdStrike, Chronicle, or EDR tools,should use LogCraft Detection Engineering to stop rules from drifting out of sync and rotting in production. Drift detection and detection-as-code eliminate the manual audit cycle that burns analyst time and leaves gaps; MITRE ATT&CK coverage mapping shows you exactly where your detection posture has holes. Skip this if your organization runs a single SIEM and has a small enough rule set to manage manually, or if you need incident response automation beyond detection tuning.
Mid-market and enterprise security teams with fragmented data across multiple SIEMs, data lakes, and cloud platforms will get the most from Query.AI Federated Detections because it runs threat hunts and detections without forcing you to centralize or ingest everything into a single repository. The library of 1,000+ pre-built FSQL recipes lets you start detecting in days rather than months of tuning custom correlation rules. Skip this if your organization has already consolidated on a single SIEM with deep historical retention and wants tight coupling to your existing detection workflow; Query.AI shines when data governance or cost makes centralization impractical, not when you already have it.
Detection-as-code platform for managing detection rules across SIEM/EDR/XDR
Runs security detections across distributed data sources without SIEM ingestion.
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Common questions about comparing LogCraft Detection Engineering vs Query.AI Federated Detections for your detection engineering needs.
LogCraft Detection Engineering: Detection-as-code platform for managing detection rules across SIEM/EDR/XDR. built by LogCraft. Core capabilities include Detection-as-code platform for rule management, MITRE ATT&CK coverage mapping, Drift detection for production rules..
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.
LogCraft Detection Engineering differentiates with Detection-as-code platform for rule management, MITRE ATT&CK coverage mapping, Drift detection for production rules. 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.
LogCraft Detection Engineering is developed by LogCraft. 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.
LogCraft Detection Engineering integrates with Splunk, Tanium, Google Chronicle, LimaCharlie, Sekoia.io and 2 more. 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.
LogCraft Detection Engineering 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.
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