I built an AI-powered Layer 7 firewall that stopped a 5K-node botnet

The firewall that thinks.
Jave Ethical Defender is a next-generation AI-powered Layer 7 firewall that defends against modern threats through behavioral analysis—not static rules.

This is the public documentation portal for the project. The source code for Jave’s core engine is not included here, but fully operational demos and technical insights are available below.

Traditional firewalls react to known patterns. Jave detects intent.

• Deterministic AI scoring of every inbound connection
• Entropy mapping and anomaly profiling
• Honeypot containerization for behavioral analysis
• Scraper, botnet, and payload detection in real time
• Ultra-low resource usage even under live attacks

Already tested against a 5,000+ node botnet.
Average CPU load: under 10%.
Detection success: 100%.
Fail2Ban? Didn’t catch a single one.

This public repo includes:

• 📚 Documentation and screenshots from live deployments
• 🛠 Sample configs (jave-config-sample.toml)
• 🧠 System design overview and architecture
• 🧪 Feature roadmap and FAQ
• 🔐 Instructions to request access to the private repo

The Jave core engine is not open source to prevent misuse and protect IP. If you're an investor, researcher, or early adopter and would like to:

• Access the full repo
• Schedule a live demo
• Evaluate for integration or white-label use

👉 Reach out via [email protected]

• Built-in forensic report generation for hosts & authorities
• Self-training mode with adaptive trust scoring
• Filesystem companion module (sandboxed file change monitor)
• LLM integration for edge-case decision handling

If you'd like to support the project, check out the GoFundMe campaign https://www.gofundme.com/f/fighting-adversity-with-innovation or contribute toward development, documentation, or early testing.

“Jave doesn't just block threats. It learns them, dissects them, and makes the digital world a little more human.”