Greenbone OPENVAS AI vs MetaHub: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
Greenbone OPENVAS AI is a commercial vulnerability assessment tool by Greenbone AG. MetaHub is a free vulnerability assessment tool. Compare features, ratings, integrations, and community reviews side by side to find the best vulnerability assessment fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Security teams running OpenVAS in on-premises environments who are drowning in scan output will get immediate value from Greenbone OPENVAS AI's ability to turn raw vulnerability data into ranked remediation workflows without shipping scans to the cloud. The on-premise LLM deployment and audit traceability address the data sovereignty and compliance concerns that stop European mid-market and enterprise organizations from adopting AI-assisted security tools. Skip this if your primary gap is vulnerability discovery itself rather than triage and response; OpenVAS AI assumes you've already got scanning covered and need help deciding what to fix first.
AWS security teams drowning in vulnerability noise will find MetaHub's real value in its contextualization layer: it automatically maps findings to actual AWS resources, ownership, and blast radius instead of dumping raw CVE lists. With 176 GitHub stars and open-source transparency, you're not locked into vendor scoring logic; you can audit and modify the prioritization rules yourself. Skip this if you need multi-cloud coverage or are still building your AWS infrastructure-as-code practices; MetaHub assumes you have workload inventory and ownership data worth contextualizing.
