Hypergraph AI is a commercial network detection and response solution by Hypergraph AI. Mercury is a free network detection and response solution. Features, integrations, deployment and the company behind each one, side by side.
GNN-based NDR platform for agentless threat detection across IT, IoT, and OT.
Network metadata capture and analysis tool
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Based on what each listing shows: deployment, company size, price and open source.
Hypergraph AI fits if you want a cloud product.
Mercury fits if you need to run it on your own servers, you need a free product and you want an open-source product.
Common questions when comparing Hypergraph AI vs Mercury for network detection and response.
Hypergraph AI: GNN-based NDR platform for agentless threat detection across IT, IoT, and OT. Built by Hypergraph AI.
Mercury: Network metadata capture and analysis tool.
The table above shows where their features, integrations, deployment and company size fit differ.
Hypergraph AI is made by Hypergraph AI. Mercury is open-source with 501 GitHub stars. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. Hypergraph AI and Mercury are both Network Detection and Response products. Key differences: Hypergraph AI is Commercial while Mercury is Free, Mercury is open-source. Use the table above to see where features, deployment and company size fit differ.
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Updated 2026-11-02
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