Features, pricing, ratings, and pros & cons — compared head-to-head.
1stProtect.ai is a commercial detection engineering tool by 1stProtect.ai. 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:
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.
Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable.
Runs security detections across distributed data sources without SIEM ingestion.
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Common questions about comparing 1stProtect.ai vs Query.AI Federated Detections for your detection engineering needs.
1stProtect.ai: Runtime enforcement platform with 22 modules on one SIGMA engine, offline-capable. built by 1stProtect.ai. Core capabilities include Single user-space SIGMA engine replacing multiple legacy security engines (EPP, EDR, DLP, IAM, ITDR, SASE), 22 protection modules covering credential theft, ransomware, data exfiltration, process injection, browser attacks, and agent self-defense, Offline-first policy enforcement with local policy engine cached in kernel memory — no cloud dependency required..
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.
1stProtect.ai differentiates with Single user-space SIGMA engine replacing multiple legacy security engines (EPP, EDR, DLP, IAM, ITDR, SASE), 22 protection modules covering credential theft, ransomware, data exfiltration, process injection, browser attacks, and agent self-defense, Offline-first policy enforcement with local policy engine cached in kernel memory — no cloud dependency required. 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.
1stProtect.ai is developed by 1stProtect.ai. 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.
1stProtect.ai integrates with Splunk, Datadog, Elastic, Sumo Logic, Okta and 14 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.
1stProtect.ai and Query.AI Federated Detections serve similar Detection Engineering use cases: both are Detection Engineering tools, both cover Sigma. Review the feature comparison above to determine which fits your requirements.
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