AI-Powered Intrusion Detection System
AI-driven Intrusion Detection System designed to detect suspicious network activity in real time. Modern networks face continuous cyber threats such as brute-force login attempts, port scans, unauthorized access, and malware activity. Traditional IDS tools struggle with new attack patterns and generate many false alerts. Our solution combines Machine Learning classification, a rule-based detection engine, and an LLM explanation layer to provide accurate, understandable threat detection. Users can submit network logs through a real-time Flask API hosted via ngrok. The system classifies events, checks for known attack signatures, and generates a human-friendly explanation of the threat. This solution targets SMEs, IT teams, and developers needing lightweight, affordable, and API-friendly network protection.
Category tags:
.png&w=96&q=75){kind=small}
.png&w=96&q=75){kind=small}
.png&w=96&q=75){kind=small}
For Innovators & Creators