🔐 Cyberpunk AI Deployer v3.0 - Cybersecurity Enhanced Edition

Automated VPS deployment script for Open WebUI + Ollama with 10 specialized AI models focused on cybersecurity, featuring Seneca-Cybersecurity-Q4 and other security-focused models.

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    ║    🔐 CYBERSECURITY ENHANCED EDITION v3.0 🔐  ║
    ║           サイバーセキュリティ強化版             ║
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    ║         10 Specialized Security Models         ║
    ║            Private • Powerful • Secure         ║
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✨ Features

🎨 Cyberpunk Aesthetic - Neon-themed UI with anime flair
🔐 10 AI Models - Heavy focus on cybersecurity (7 dedicated security models)
🛡️ Seneca-Cybersecurity-Q4 - Advanced malware analysis & incident response
🔴 Red Team Models - WhiteRabbitNeo for offensive security
🔵 Blue Team Models - CyberGuard for defense
🛠️ Multiple Model Support - Install and switch between models easily
🚀 One-Command Deploy - Automated setup in minutes
🔒 Private & Secure - Everything runs locally on your VPS

⚡ Quick Start

Installation (5 minutes)

# Download the deployment script
wget https://github.com/nexus-arm/Neon-Ai/raw/main/deploy/deploy_cybersec_enhanced.py

# Make executable
chmod +x deploy_cybersec_enhanced.py

# Run with sudo (recommended for Docker installation)
sudo python3 deploy_cybersec_enhanced.py

Tip: When running from a cloned repository, use sudo python3 deploy/deploy_cybersec_enhanced.py because the script now lives under deploy/.

That's it! The script will:

✅ Install Docker if needed
✅ Set up Open WebUI + Ollama
✅ Let you choose from 10 AI models
✅ Configure everything automatically

Access at: http://YOUR_VPS_IP:3000

🛡️ Complete Model Collection

🔐 Cybersecurity Models (7 Models)

#	Model	Size	RAM	Specialization
1	Lily-Cybersecurity-7B	4.37 GB	8 GB	General security, pentesting
2	Seneca-Cybersecurity-Q4 ⭐	~4.5 GB	8 GB	Malware analysis, incident response
3	WhiteRabbitNeo-7B ⭐	~4.5 GB	8 GB	Red team, penetration testing
4	CyberGuard-7B ⭐	~4.8 GB	8 GB	Blue team, SOC operations
5	SecGPT-14B ⭐	~9.1 GB	16 GB	Enterprise security, compliance
6	SecGPT-7B ⭐	~4.8 GB	8 GB	Security code analysis, efficient
9	CodeShield-7B ⭐	~4.5 GB	8 GB	Code security, SAST analysis

💻 Coding & Reasoning Models

#	Model	Size	RAM	Focus
7	Qwen2.5-Coder-7B	~4.7 GB	8 GB	Secure code development
8	DeepSeek-R1	~8 GB	12 GB	Threat modeling, reasoning
10	Mixtral-8x7B	~26 GB	32 GB	Multi-domain analysis

⭐ = New cybersecurity-focused additions

📖 What's New in v3.0

Major Enhancements

✅ Added Seneca-Cybersecurity-Q4 - Your requested model for advanced malware analysis
✅ 7 Security-Focused Models - Including WhiteRabbitNeo, CyberGuard, SecGPT-14B, SecGPT-7B, and CodeShield
✅ Red/Blue Team Coverage - Models for both offensive and defensive operations
✅ Security Workflows - Pre-configured setups for common security tasks
✅ Enhanced Documentation - Security-specific guides and examples

🎮 Main Menu

🎮 MAIN MENU - Choose Your Action

[1] 🚀 Deploy AI System           - First-time setup
[2] 🤖 View AI Models              - Browse all 10 models
[3] 📥 Install Additional Model    - Add more models
[4] 🎓 Learning Resources          - Security & AI education
[5] 📊 System Status               - Monitor your deployment
[6] 📖 Quick Reference             - Common commands
[7] 👋 Exit

🎯 Usage Scenarios

🔴 Red Team Setup

# Deploy offensive toolkit
sudo python3 deploy_cybersec_enhanced.py
# Select [1], then [3] for WhiteRabbitNeo-7B

# Add advanced security analysis
# Select [3], then [5] for SecGPT-14B

🔵 Blue Team Setup

# Deploy defensive model
sudo python3 deploy_cybersec_enhanced.py
# Select [1], then [4] for CyberGuard-7B

# Add code security scanning
# Select [3], then [9] for CodeShield-7B

🔬 Malware Analysis Setup

# Deploy with Seneca model
sudo python3 deploy_cybersec_enhanced.py
# Select [1], then [2] for Seneca-Cybersecurity-Q4

🛡️ AppSec Setup

# Deploy code security model
sudo python3 deploy_cybersec_enhanced.py
# Select [1], then [9] for CodeShield-7B

# Add secure coding assistant
# Select [3], then [7] for Qwen2.5-Coder-7B

🔧 Common Commands

Docker Management

# Navigate to project
cd ~/open-webui

# Start services
docker compose up -d

# Stop services
docker compose down

# View logs
docker compose logs -f

# Check status
docker compose ps

Model Management

# List installed models
docker exec ollama ollama list

# Install specific model
docker exec -it ollama ollama pull seneca-cybersecurity:q4

# Test a model
docker exec -it ollama ollama run whiterabbitneo:7b

# Remove model
docker exec ollama ollama rm model_name

📊 System Requirements

Minimum (7B Models)

CPU: 2+ cores
RAM: 8 GB
Disk: 20 GB free
Models: All 7B models

Recommended (14B Models)

CPU: 4+ cores
RAM: 16 GB
Disk: 30 GB free
Models: SecGPT-14B

Advanced (Mixtral)

CPU: 8+ cores
RAM: 32 GB
Disk: 40 GB free
Models: Mixtral-8x7B

🛡️ Security Best Practices

After Deployment

Create admin account - First user becomes admin
Disable signups - Settings → Admin Panel → Disable new signups
Configure firewall:

sudo ufw allow 22/tcp    # SSH
sudo ufw allow 3000/tcp  # Open WebUI
sudo ufw enable

For Sensitive Operations

Use isolated VPS for malware analysis
Enable audit logging
Regular backups
Network segmentation

📚 Documentation

This repository includes comprehensive documentation:

README.md - This file, main documentation
docs/README.md - Documentation index and links to guides
docs/README_CYBERSEC.md - Detailed cybersecurity guide
docs/CYBERSEC_QUICK_START.md - Fast setup instructions
docs/architecture.md - System design overview and security pillars
deploy/deploy_cybersec_enhanced.py - Deployment script location inside the repository

🗂️ Repository Structure

Neon-Ai/
├── docs/
│   ├── README.md
│   ├── README_CYBERSEC.md
│   ├── CYBERSEC_QUICK_START.md
│   └── architecture.md
├── deploy/
│   ├── deploy_cybersec_enhanced.py
│   ├── docker/
│   │   ├── Dockerfile
│   │   └── docker-compose.yml
│   └── scripts/
│       └── monitor.sh
├── src/
│   ├── main.py
│   ├── modules/
│   │   ├── model_manager.py
│   │   ├── deployment_manager.py
│   │   └── utils.py
│   └── config/
│       ├── default.yaml
│       └── security_policy.yaml
├── tests/
│   ├── unit/
│   └── integration/
├── models/
│   ├── README.md
│   └── model_list.yaml
├── examples/
│   └── incident_response/
│       └── example1.md
├── scripts/
│   └── cleanup_old_models.sh
├── .github/workflows/
│   └── ci.yml
├── LICENSE
└── README.md

🎓 Example Security Workflows

Incident Response

# 1. Malware Analysis
docker exec -it ollama ollama run seneca-cybersecurity:q4
"Analyze this PowerShell script for malicious behavior..."

# 2. Security Analysis
docker exec -it ollama ollama run secgpt-7b
"Analyze this security incident and provide recommendations..."

# 3. Defensive Measures
docker exec -it ollama ollama run cyberguard:7b
"Create detection rules for this attack pattern..."

Vulnerability Assessment

# 1. Code Review
docker exec -it ollama ollama run codeshield:7b
"Review this code for security vulnerabilities..."

# 2. Penetration Testing
docker exec -it ollama ollama run whiterabbitneo:7b
"How to test for SQL injection in this endpoint..."

# 3. Advanced Security Assessment
docker exec -it ollama ollama run secgpt-14b
"Perform comprehensive security analysis of this system..."

🐛 Troubleshooting

Docker Issues

# Check Docker status
sudo systemctl status docker

# Start Docker
sudo systemctl start docker

# Restart containers
cd ~/open-webui && docker compose restart

Model Download Issues

# Check logs
docker logs ollama

# Manual download
docker exec -it ollama ollama pull AlicanKiraz0/Seneca-Cybersecurity-LLM-Q4_K_M-GGUF

# Check disk space
df -h

Can't Access Web UI

# Check firewall
sudo ufw status

# Allow port
sudo ufw allow 3000/tcp

# Check containers
docker ps

🔗 Resources

Model Sources

Seneca Cybersecurity - HuggingFace
WhiteRabbitNeo - Official
Open WebUI - GitHub
Ollama - Official

Security Training

TryHackMe - Practice with models
HackTheBox - Test offensive capabilities
PentesterLab - Web security
PortSwigger Academy - Web app security

Communities

Open WebUI Discord - Join
Ollama Discord - Join

💡 Pro Tips

Start with Seneca-Q4 - Best balance of performance and capability
Install multiple models - Different models for different tasks
Use model switching - Select appropriate model per task
Regular updates - Pull latest model versions
Join communities - Learn from other users

📜 License

MIT License - Free to use, modify, and distribute for ethical purposes.

🙏 Credits

Model Creators - All the security researchers and AI developers
Open Source Community - For continuous improvements
You - For choosing private, local AI for security

🔐 Stay Secure, Stay Private, Stay Powerful 🔐

⭐ Star this repository if you find it useful!

🌃 Welcome to the Cyberpunk Future of Security AI! 🚀

View GitHub | Download Script | Download ZIP

Version 3.0.0 | Models: 10 | Focus: Cybersecurity | Last Updated: November 2025

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.github/workflows		.github/workflows
deploy		deploy
docs		docs
examples/incident_response		examples/incident_response
models		models
scripts		scripts
src		src
tests		tests
LICENSE		LICENSE
README.md		README.md

License

nexus-arm/Neon-Ai

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