AI Cybersecurity Monitoring Companion
Overview
SecuriGotchi is a Raspberry Pi-based cybersecurity monitoring system that combines real-time log analysis with an AI-powered assistant, all presented through a retro terminal-style interface. Inspired by the Tamagotchi concept of a digital companion that requires care and attention, SecuriGotchi makes network security monitoring more engaging and accessible.
The project was born from the observation that security monitoring tools are often either too complex for small teams or too simplistic to be useful. SecuriGotchi bridges that gap by providing meaningful security insights through an approachable, personality-driven interface that encourages regular interaction.
Key Features
- Real-Time Log Monitoring — Continuous analysis of system logs, network traffic, and authentication events
- AI Security Assistant — Natural language interaction for querying security status, investigating alerts, and getting remediation guidance
- Terminal-Style Interface — Retro green-on-black display with character-based UI, running on a dedicated screen
- Threat Detection — Pattern-based detection of common attack vectors including brute force attempts, port scanning, and suspicious authentication
- Security Health Score — A dynamic score that reflects the current security posture of the monitored network
- Companion Personality — The system has a virtual companion character whose mood and behavior reflect the network’s security status
Technical Architecture
SecuriGotchi runs on a Raspberry Pi with a connected display, operating as a dedicated security monitoring appliance. The system collects logs from network devices and local services, processes them through a detection engine, and presents findings through both the visual interface and the AI assistant.
The AI component uses language models to interpret security events in plain language, making it possible for users to ask questions like “What happened on the network last night?” or “Are there any unusual login attempts?” and receive contextual, actionable answers.
The companion character serves as an ambient indicator of network health — when things are secure, the character is happy and active; when threats are detected, it becomes alert and communicative about what needs attention. This creates a passive monitoring experience where a quick glance at the device provides immediate situational awareness.
Hardware & Software Stack
The project combines Python for log analysis and AI integration, with Linux security tools for network monitoring. The terminal interface is built using ncurses-style rendering, and the entire system is designed to run efficiently on Raspberry Pi hardware — making it an affordable, dedicated security monitoring solution suitable for home labs, small offices, or educational environments.