About This Architecture

CyraFlow AI Pentest Lab Topology demonstrates an isolated, air-gapped penetration testing environment where an AI framework orchestrates reconnaissance and exploitation against intentionally vulnerable targets. The operator controls a Kali Linux attacker VM (192.168.56.101) running CyraFlow, which integrates a ReAct engine, classifiers, and MCP manager to coordinate nmap reconnaissance, Metasploit RPC calls, and credential scanning against Metasploitable 2 (192.168.56.102). CyraFlow leverages either local Ollama inference or cloud LLM APIs (Gemini, Groq, OpenRouter) to generate attack strategies while maintaining operational security through host-only network isolation. This architecture enables red teamers to automate pentest workflows with AI reasoning without exposing sensitive data to external services when using local inference. Fork and customize this lab topology on Diagrams.so to adapt the MCP server configuration, add additional victim VMs, or integrate alternative LLM providers for your security research.

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How do I build an AI-assisted penetration testing lab that keeps sensitive data isolated from cloud APIs?

CyraFlow AI Pentest Lab Topology shows a host-only isolated network where Kali Linux runs CyraFlow with a ReAct engine and MCP manager to automate attacks against Metasploitable 2. By using local Ollama inference instead of cloud LLM APIs, all reasoning and exploitation data stays on the lab network, ensuring operational security for sensitive red team research.