I built a 100% local network privacy appliance to stop smart home spying. Here is why I went fully offline.

Most homes have zero network visibility. Consumer devices quietly leak data, while enterprise security platforms are complex, expensive, and cloud-hungry. I wanted a way to audit my local network traffic without sacrificing my own privacy to a third-party cloud provider.

So, I built Edge Defense AI. It passively monitors your local LAN offline to catch compromised, tracking devices in real time.

The General Gist of How It Works:

• Passive Monitoring: It runs inside a single Docker container on host networking privileges, sniffing traffic behaviors from your local bridge or switch without sitting directly in line or interrupting your main internet connection.

• 100% Local Processing: Zero raw packet logs or analysis data ever leaves your hardware.

• Instant Inventory & Tracking: It maps out every phone, laptop, and smart plug by IP/MAC and instantly flags anomalies like unexpected background data spikes, midnight outbound connections, or internal reconnaissance scans.

• Active Quarantine: You can toggle an optional mode to isolate or cut off a compromised device at the network level the moment it misbehaves.

  Looking for Feedback

  The deployment pipeline is live and stable, and I’m currently looking for early beta testers to run the container and rip the UI/UX apart.

  If you're running a home lab or have a bunch of smart home tech calling home, I'd love for you to check out the setup guides and let me know what you think:

  Landing Page & Docs: https://edgedefenseai.com

  Drop any questions about the deployment flow or feature suggestions below!