Anvilogic AI SOC vs Mquery: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Anvilogic AI SOC is a commercial detection engineering tool by Anvilogic. Mquery is a free detection engineering tool. Compare features, ratings, integrations, and community reviews side by side to find the best detection engineering fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Detection engineers and mid-market security teams drowning in alert noise will find real value in Anvilogic AI SOC's detection-as-code builder and automated tuning, which actually reduces false positives instead of just promising to. The platform's multi-SIEM support and ability to map gaps against MITRE ATT&CK across your existing data lakes means you're not ripping out infrastructure to adopt it. Skip this if you need incident response automation or SOAR workflows; Anvilogic is deliberately focused on the detection layer, not what happens after an alert fires.
Malware analysts who need to pivot fast between Yara rules and sample sets will find Mquery's speed unmatched; it executes queries across millions of binaries in seconds where traditional approaches take minutes. The free tier with 437 GitHub stars signals active maintenance and real adoption among blue teams without procurement friction. Skip this if your team needs integrated sandbox detonation or collaborative case management; Mquery is a query engine, not a full threat intelligence platform.
