Deep Web Guard – AI Powered Security Platform

The Deep Web Guard project presents an AI-powered, dual-mode cybersecurity platform that integrates a Web Vulnerability Scanner and a Network Intrusion Detection System (NIDS) into a unified solution. Designed to provide end-to-end protection for web applications and network infrastructures, the platform leverages GPTbased threat intelligence and machine learning algorithms for real-time anomaly detection, risk scoring, and contextual threat analysis. The system combines static and dynamic web scanning, payload fuzzing, and signature-based as well as ML-driven network monitoring to detect both known and zero-day attacks. Developed using Python, Node.js, and React, the platform offers an intuitive dashboard for real-time visualization, automated reporting, and alert management. By reducing false positives and simplifying deployment, Deep Web Guard delivers an affordable, open-source, and intelligent cybersecurity framework suitable for organizations of all sizes.

AI-powered security platform, web vulnerability scanner

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