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Build an Autonomous AI Red Team Agent from Scratch | LangGraph + Metasploit + Neo4j Full Tutorial
🔴 REDAMON: Build Your Own AI-Powered Red Team Agent | Complete Open Source Tutorial
In this comprehensive tutorial, I'll guide you step-by-step on how to build a fully autonomous AI agent that performs complete penetration testing - from reconnaissance to exploitation to post-exploitation - with zero human intervention.
You will NOT find anything like this anywhere else on the internet. And the best part? The complete repository with all source code is FREE.
📌 WHAT YOU'LL LEARN:
━━━━━━━━━━━━━━━━━━━━━
• Manual penetration testing methodology (CVE-2021-41773 Apache exploitation)
• AI-automated security assessment with autonomous decision making
• Complete system architecture design and implementation
• Deep dive into every component with code explanations
🕐 TImestamps:
━━━━━━━━━━━━━━━━━━━━
00:00 Introduction to Automated AI Penetration Testing
00:39 Overview of Red Diamond Framework
00:55 AI System Demonstration
01:34 Reconnaissance Pipeline Explained
02:50 AI Agent's Capabilities and Workflow
03:51 Tutorial Structure and Important Reminders
05:46 Manual Penetration Testing Methodology
17:51 Exploiting Vulnerabilities with Metasploit
34:43 AI Agent vs. Human Pen Tester
43:18 System Architecture and Components
52:22 Understanding the HTT PX Probing Process
53:28 Initiating the Scan: Step-by-Step Guide
53:52 Phase One: Domain Discovery
55:26 Phase Two: Port Scanning with Nabu
56:27 Phase Three: HTTP Probing
57:45 Phase Four: Resource Enumeration
58:53 Phase Five: Vulnerability Scanning
01:01:23 Configuring Scan Parameters
01:17:00 AI Agent Orchestrator: The Heart of Redon
01:46:28 Final Thoughts and Ethical Considerations
🔗 RESOURCES:
━━━━━━━━━━━━
• GitHub Repository: https://github.com/samugit83/redamon
• PentestMCP Research Paper: https://arxiv.org/pdf/2510.03610
🤖 AI/ML TECHNOLOGIES:
━━━━━━━━━━━━━━━━━━━━━
• LangGraph - Agentic graph orchestration engine
• LangChain - LLM framework integration
• ReAct Pattern - Reasoning and Acting autonomous loop
• OpenAI GPT-4.1 - Large Language Model backbone
• Text-to-Cypher - Natural language to graph queries
• MemorySaver Checkpointing - Session persistence
🛡️ SECURITY & PENTESTING TOOLS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Metasploit Framework - Exploitation with persistent stateful console
• Nuclei - 9,000+ vulnerability templates
• Naabu - Lightning-fast port scanning
• Httpx - HTTP probing with technology detection
• Katana - Advanced web crawling
• GAU - Historical URL discovery (Wayback Machine)
• GVM/OpenVAS - 170,000+ Network Vulnerability Tests
• Wappalyzer - Technology fingerprinting
• MITRE ATT&CK - Threat framework mapping
🔧 MODEL CONTEXT PROTOCOL (MCP):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• FastMCP - Python MCP server framework
• SSE Transport - Server-Sent Events communication
• 4 Custom MCP Servers: Naabu, Curl, Nuclei, Metasploit
• Stateful tool execution with session management
━━━━━━━━━━━━━━
• Frontend: Next.js 16.1, React 19, TypeScript 5.7
• Backend: FastAPI, Uvicorn, WebSocket streaming
• Database: Neo4j with APOC procedures
• Container: Docker, Docker Compose, Kali Linux
• Languages: Python 3.11, Go 1.21.5, TypeScript, Node.js 22
🧠 AGENTIC ARCHITECTURE:
━━━━━━━━━━━━━━━━━━━━━━━
• Phase-based execution: Informational → Exploitation → Post-Exploitation
• Human-in-the-loop approval for dangerous operations
• Multi-tenant isolation with project/user context
• Real-time WebSocket streaming of agent decisions
• Execution trace with full tool output logging
📚 BASED ON RESEARCH:
━━━━━━━━━━━━━━━━━━━━━
This project is inspired by "PentestMCP: A Toolkit for Agentic Penetration Testing"
from Portland State University. Link in resources below:
https://arxiv.org/pdf/2510.03610
🎯 TUTORIAL STRUCTURE:
━━━━━━━━━━━━━━━━━━━━━
1️⃣ Manual Penetration Testing Methodology
2️⃣ Automated Assessment with RedAmon
3️⃣ System Architecture Overview
4️⃣ Component Deep Dive
⚠️ ETHICAL DISCLAIMER:
━━━━━━━━━━━━━━━━━━━━━
This tool is intended for AUTHORIZED security testing, educational purposes,
and research ONLY. Never scan or attack systems without explicit written
permission. Unauthorized access is ILLEGAL.
#AIRedTeam #PenetrationTesting #CyberSecurity #LangGraph #Metasploit
#Neo4j #ArtificialIntelligence #EthicalHacking #AgenticAI #MCP
#MachineLearning #InfoSec #BugBounty #OffensiveSecurity #Python
#TypeScript #Docker #Nuclei #OSINT #ReActPattern
🎓 About the Instructor:
I'm Samuele Giampieri, an AI engineer passionate about bridging cutting-edge research with practical applications. My expertise spans knowledge graphs, NLP, vector databases, and AI-driven retrieval systems, and I enjoy creating resources that empower innovation.
🔗 Connect with Me:
GitHub: https://github.com/samugit83
LinkedIn: /samuele-giampieri-b1b67597
Website: https://www.devergolabs.com
© 2026 | Educational Content for Authorized Security Testing Only
Видео Build an Autonomous AI Red Team Agent from Scratch | LangGraph + Metasploit + Neo4j Full Tutorial канала The Gradient Path
In this comprehensive tutorial, I'll guide you step-by-step on how to build a fully autonomous AI agent that performs complete penetration testing - from reconnaissance to exploitation to post-exploitation - with zero human intervention.
You will NOT find anything like this anywhere else on the internet. And the best part? The complete repository with all source code is FREE.
📌 WHAT YOU'LL LEARN:
━━━━━━━━━━━━━━━━━━━━━
• Manual penetration testing methodology (CVE-2021-41773 Apache exploitation)
• AI-automated security assessment with autonomous decision making
• Complete system architecture design and implementation
• Deep dive into every component with code explanations
🕐 TImestamps:
━━━━━━━━━━━━━━━━━━━━
00:00 Introduction to Automated AI Penetration Testing
00:39 Overview of Red Diamond Framework
00:55 AI System Demonstration
01:34 Reconnaissance Pipeline Explained
02:50 AI Agent's Capabilities and Workflow
03:51 Tutorial Structure and Important Reminders
05:46 Manual Penetration Testing Methodology
17:51 Exploiting Vulnerabilities with Metasploit
34:43 AI Agent vs. Human Pen Tester
43:18 System Architecture and Components
52:22 Understanding the HTT PX Probing Process
53:28 Initiating the Scan: Step-by-Step Guide
53:52 Phase One: Domain Discovery
55:26 Phase Two: Port Scanning with Nabu
56:27 Phase Three: HTTP Probing
57:45 Phase Four: Resource Enumeration
58:53 Phase Five: Vulnerability Scanning
01:01:23 Configuring Scan Parameters
01:17:00 AI Agent Orchestrator: The Heart of Redon
01:46:28 Final Thoughts and Ethical Considerations
🔗 RESOURCES:
━━━━━━━━━━━━
• GitHub Repository: https://github.com/samugit83/redamon
• PentestMCP Research Paper: https://arxiv.org/pdf/2510.03610
🤖 AI/ML TECHNOLOGIES:
━━━━━━━━━━━━━━━━━━━━━
• LangGraph - Agentic graph orchestration engine
• LangChain - LLM framework integration
• ReAct Pattern - Reasoning and Acting autonomous loop
• OpenAI GPT-4.1 - Large Language Model backbone
• Text-to-Cypher - Natural language to graph queries
• MemorySaver Checkpointing - Session persistence
🛡️ SECURITY & PENTESTING TOOLS:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Metasploit Framework - Exploitation with persistent stateful console
• Nuclei - 9,000+ vulnerability templates
• Naabu - Lightning-fast port scanning
• Httpx - HTTP probing with technology detection
• Katana - Advanced web crawling
• GAU - Historical URL discovery (Wayback Machine)
• GVM/OpenVAS - 170,000+ Network Vulnerability Tests
• Wappalyzer - Technology fingerprinting
• MITRE ATT&CK - Threat framework mapping
🔧 MODEL CONTEXT PROTOCOL (MCP):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• FastMCP - Python MCP server framework
• SSE Transport - Server-Sent Events communication
• 4 Custom MCP Servers: Naabu, Curl, Nuclei, Metasploit
• Stateful tool execution with session management
━━━━━━━━━━━━━━
• Frontend: Next.js 16.1, React 19, TypeScript 5.7
• Backend: FastAPI, Uvicorn, WebSocket streaming
• Database: Neo4j with APOC procedures
• Container: Docker, Docker Compose, Kali Linux
• Languages: Python 3.11, Go 1.21.5, TypeScript, Node.js 22
🧠 AGENTIC ARCHITECTURE:
━━━━━━━━━━━━━━━━━━━━━━━
• Phase-based execution: Informational → Exploitation → Post-Exploitation
• Human-in-the-loop approval for dangerous operations
• Multi-tenant isolation with project/user context
• Real-time WebSocket streaming of agent decisions
• Execution trace with full tool output logging
📚 BASED ON RESEARCH:
━━━━━━━━━━━━━━━━━━━━━
This project is inspired by "PentestMCP: A Toolkit for Agentic Penetration Testing"
from Portland State University. Link in resources below:
https://arxiv.org/pdf/2510.03610
🎯 TUTORIAL STRUCTURE:
━━━━━━━━━━━━━━━━━━━━━
1️⃣ Manual Penetration Testing Methodology
2️⃣ Automated Assessment with RedAmon
3️⃣ System Architecture Overview
4️⃣ Component Deep Dive
⚠️ ETHICAL DISCLAIMER:
━━━━━━━━━━━━━━━━━━━━━
This tool is intended for AUTHORIZED security testing, educational purposes,
and research ONLY. Never scan or attack systems without explicit written
permission. Unauthorized access is ILLEGAL.
#AIRedTeam #PenetrationTesting #CyberSecurity #LangGraph #Metasploit
#Neo4j #ArtificialIntelligence #EthicalHacking #AgenticAI #MCP
#MachineLearning #InfoSec #BugBounty #OffensiveSecurity #Python
#TypeScript #Docker #Nuclei #OSINT #ReActPattern
🎓 About the Instructor:
I'm Samuele Giampieri, an AI engineer passionate about bridging cutting-edge research with practical applications. My expertise spans knowledge graphs, NLP, vector databases, and AI-driven retrieval systems, and I enjoy creating resources that empower innovation.
🔗 Connect with Me:
GitHub: https://github.com/samugit83
LinkedIn: /samuele-giampieri-b1b67597
Website: https://www.devergolabs.com
© 2026 | Educational Content for Authorized Security Testing Only
Видео Build an Autonomous AI Red Team Agent from Scratch | LangGraph + Metasploit + Neo4j Full Tutorial канала The Gradient Path
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26 января 2026 г. 3:42:46
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