Lyrie Remedy — AI Auto-Fix for Vulnerabilities is a commercial vulnerability assessment solution by Lyrie AI. Qingteng Wanxiang (Host Adaptive Security Platform) is a commercial vulnerability assessment solution by 青藤云安全 (Qingteng Cloud Security). Features, integrations, deployment and the company behind each one, side by side.
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VisitAI agent that auto-detects, patches & verifies server vulns with credit refund on failure.
Agent-based host vulnerability, patch, config, and weak-password risk discovery platform
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Based on what each listing shows: deployment, company size, price and open source.
Lyrie Remedy — AI Auto-Fix for Vulnerabilities fits if you need both cloud and on-premises options and you are a startup or a small business.
Qingteng Wanxiang (Host Adaptive Security Platform) fits if you need to run it on your own servers.
Common questions when comparing Lyrie Remedy — AI Auto-Fix for Vulnerabilities vs Qingteng Wanxiang (Host Adaptive Security Platform) for vulnerability assessment.
Lyrie Remedy — AI Auto-Fix for Vulnerabilities: AI agent that auto-detects, patches & verifies server vulns with credit refund on failure, built by Lyrie AI.
Qingteng Wanxiang (Host Adaptive Security Platform): Agent-based host vulnerability, patch, config, and weak-password risk discovery platform, built by 青藤云安全 (Qingteng Cloud Security).
The table above shows where their features, integrations, deployment and company size fit differ.
Lyrie Remedy — AI Auto-Fix for Vulnerabilities is made by Lyrie AI. Qingteng Wanxiang (Host Adaptive Security Platform) is made by 青藤云安全 (Qingteng Cloud Security). The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. Lyrie Remedy — AI Auto-Fix for Vulnerabilities and Qingteng Wanxiang (Host Adaptive Security Platform) are both Vulnerability Assessment products, and both cover Vulnerability, Patch Management, Linux. Use the table above to see where features, deployment and company size fit differ.
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Updated 2026-11-01
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