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WRAITHNET
Autonomous network security intelligence platform. Continuously monitors infrastructure, identifies anomalous behaviour, and coordinates AI-driven response without human intervention.
Active
Python
AI Agents
Security
Overview
WRAITHNET is a personal security intelligence platform designed for continuous, autonomous infrastructure protection. It operates as a background system — observing, learning, and responding to network events without requiring manual oversight.
The system combines a data collection layer with an AI analysis engine and a response coordinator. Each component operates independently but feeds into a shared intelligence model that improves its detection accuracy over time through accumulated network observations.
System Layers
Collection
Passive data collection layer that captures network events and connection metadata continuously in the background.
Analysis
AI-driven analysis engine that processes collected data, identifies behavioural patterns, and surfaces anomalies against learned baselines.
Intelligence
Adaptive model that continuously refines its understanding of normal vs. anomalous behaviour based on observed network activity over time.
Response
Automated response coordinator that triggers protective actions and alerts when the analysis engine raises high-confidence threat signals.
Key Features
- Fully autonomous operation — monitors and responds without manual intervention
- AI-driven anomaly detection with adaptive baselining from historical behaviour
- Continuous learning model — detection accuracy improves over time
- Structured event log for retrospective analysis and pattern review
- Lightweight resource footprint — designed to run persistently as a background service
- Self-contained deployment — no cloud dependency or external telemetry
Tech Stack
Python
asyncio
AI Agents
SQLite
Machine Learning