Airrived Agentic SOC vs Query.AI Federated Detections: Side-by-Side Comparison (2026)

Short answer

Mid-market and enterprise SOCs drowning in alert volume should evaluate Airrived Agentic SOC for its ability to actually close incidents without human triage, not just enrich them. The platform's agent-swarm architecture handles cross-domain reasoning across identity, cloud, endpoint, and network signals simultaneously, which means fewer alerts reaching your analysts and fewer context switches between tools. Skip this if your team still prefers static playbooks or you lack integration coverage with your core stack; the value compounds only when Airrived connects directly to your Splunk, CrowdStrike, and cloud environments. 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.