Last time we learned how production AI agent teams work. Today, we build one.

In this practical video, we create a working Multi-Agent Security System in Python using Gemini and the Google GenAI SDK, with Claude Code helping us build the project.

WHAT WE BUILD
Orchestrator Agent
Routes the task to the right specialized agent.

Threat Intelligence Agent
Uses check_ip_reputation to investigate IP addresses.

Vulnerability Agent
Uses search_cve to investigate vulnerabilities.

WHAT WE COVER
* Python virtual environment setup
* Gemini API key configuration
* Installing the google-genai SDK
* Building the 3-agent architecture with Claude Code
* Orchestrator-driven delegation and handoffs
* Tool calling with security tools
* Clean logging, docstrings and error handling
* Running the complete multi-agent workflow
* Generating and understanding the final structured security report

THE FINAL FLOW
User → Orchestrator → Specialized Agent → Tool → Result → Final Security Report

This is where the Production AI Agent concepts from the previous video turn into a real working Multi-Agent Security workflow.

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CONNECT & LEARN

Website:
https://www.thetechzeen.com/

Full AI-Driven Cyber Security Playlist:
https://www.youtube.com/playlist?list=PLMnWzLCjYQQk

Source Code:
https://github.com/farzeen-ali/Google-SDK-Multi-Agent-Security

Lecture Notes:
https://github.com/farzeen-ali/AI-Driven-Cyber-Security

Cyber Security WhatsApp Community:
https://whatsapp.com/channel/0029VbCpEz6JkK75tDMYj43M

#MultiAgentSystems #AIAgents #GoogleGenAI #Gemini #ClaudeCode #AICybersecurity #AISecurity #AgentHandoffs #AgenticAI #Python #SecurityAutomation #TheTechzeen