Falco Rules is a free detection engineering solution. Query.AI Federated Detections is a commercial detection engineering solution by Query.AI. Features, integrations, deployment and the company behind each one, side by side.
A repository of officially managed detection rules for the Falco runtime security monitoring system that identifies threats, abnormal behaviors, and compliance violations through syscall and container event analysis.
Runs security detections across distributed data sources without SIEM ingestion.
See more solutions in this category, or build a security stack from your picks.
Based on what each listing shows: deployment, company size, price and open source.
Falco Rules fits if you need to run it on your own servers, you are a startup or a small business, you need a free product and you want an open-source product.
Query.AI Federated Detections fits if you want a cloud product.
Common questions when comparing Falco Rules vs Query.AI Federated Detections for detection engineering.
Falco Rules: A repository of officially managed detection rules for the Falco runtime security monitoring system that identifies threats, abnormal behaviors, and compliance violations through syscall and container event analysis.
Query.AI Federated Detections: Runs security detections across distributed data sources without SIEM ingestion, built by Query.AI.
The table above shows where their features, integrations, deployment and company size fit differ.
Falco Rules is open-source with 157 GitHub stars. Query.AI Federated Detections is made by Query.AI. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. Falco Rules and Query.AI Federated Detections are both Detection Engineering products, and both cover Detection Rules. Key differences: Falco Rules is Free while Query.AI Federated Detections is Commercial, Falco Rules is open-source. Use the table above to see where features, deployment and company size fit differ.
No Detection Engineering shortlist yet. This is the closest one.
Updated 2026-11-01
See the shortlist
