anew vs detections.ai Detections: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros and cons, compared head to head.
anew is a free threat hunting tool. detections.ai Detections is a commercial detection engineering tool by Detections.ai. Compare features, ratings, integrations, and community reviews side by side to find the best threat hunting 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
Threat hunters who need to rapidly ingest and deduplicate indicator lists during active investigations will appreciate anew's simplicity; it does one thing,append new lines while filtering duplicates,without the overhead of heavier log aggregation platforms. At 1,552 GitHub stars with a free pricing model, it's proven useful enough for teams already comfortable managing their own pipelines rather than relying on managed threat intelligence platforms. Skip this if you need built-in enrichment, correlation, or SOAR integration; anew is a Unix utility, not a detection platform. Threat hunters and SOC analysts at mid-market and enterprise organizations will get immediate value from detections.ai Detections if your team spends cycles reinventing detection rules instead of hunting. The platform's peer-validated rule library and AI-powered generation from threat intelligence compress that cycle; you're pulling from thousands of community contributions mapped to MITRE ATT&CK rather than starting from scratch. Skip this if your detection workflow is already locked into a SIEM vendor's proprietary rule ecosystem and you have no budget or appetite for a separate sharing platform.
Based on our analysis of core features, company size fit, deployment model, here is our conclusion:
