RabbitWall Introduces Web Console for Linux Gateways to Monitor and Control AI Network Traffic
· GlobeWire Daily Editorial Desk · Source: github.com

Image: GitHub · Photo source · Resized and letterboxed to 16:9; no AI generation
Overview of RabbitWall
RabbitWall has been released as a web console for Linux gateways designed to help users observe traffic from an AI network and control its Internet access. According to the project repository, the tool functions by sitting between an existing local area network and an AI network, requiring a machine with two wired network interfaces.
Core Features and Monitoring Capabilities
The software provides several ways to visualize and monitor network activity:
- Session Visualization: View connection sessions on a world map, in a route list, or via session history.
- Node and Domain Insights: Monitor node availability while displaying inferred domains, estimated countries, and newly observed domains.
- Traffic Ranking: Track traffic volume over the last hour or 24 hours.
- Access Control: Close Internet access entirely—including established connections and DNS—or temporarily approve exact domains per AI node for specific durations such as 1, 5, or 30 minutes.
Security and Management
Management access is restricted to a single PC using source-IP filtering and Caddy client-certificate authentication (mTLS). The application relies on a single JSON file to configure IP addresses, network interfaces, initial nodes, upstream DNS, and map locations. DNS forwarding utilizes Unbound alongside a separate dnstap observer for inferred domains.
System Requirements and Deployment
The target production environment requires Debian 13 or later, or Ubuntu 24.04, equipped with systemd, NetworkManager, and two wired network interfaces. Debian 12 and earlier are explicitly noted as unsupported due to dependency version requirements for dnspython. Additionally, a Python 3.11 demo mode is available for testing on supported systems or macOS without altering operating system settings.
Publishers and administrators should consult the official GitHub repository and installation guide to verify prerequisites, hardware drivers, and mTLS registration steps before attempting deployment.
AI-assisted reporting; source claims are attributed and have not been independently verified.
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