Alterix vs Query.AI Federated Detections: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros and cons, compared head to head.
Alterix is a free detection engineering tool. 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. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
CST VerdictShort answer
Teams managing multiple SIEMs or migrating detection logic between platforms will find Alterix valuable for the mechanical task of converting Sigma and Yara rules without rewriting them from scratch. The free price point and GitHub availability mean zero friction for testing whether the conversion quality meets your standards before committing engineering time. Skip this if your organization has settled on a single SIEM with native rule support or if you need human-validated detections; Alterix handles syntax translation, not threat intelligence or rule 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.
Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion:
