AI/ML, Cybersecurity, Web Security

XG-Guard: AI Powered Web Access Firewall

XG-Guard is an AI-driven Web Application Firewall built to protect Bangladeshi websites from real-time cyber attacks. It analyzes every incoming web request, identifies harmful payloads using an AI classifier, and blocks attacks like SQL Injection, XSS, and command injection before they reach the server.

XG-Guard: AI Powered Web Access Firewall

Impact

XG-Guard protects websites in Bangladesh, where 60%–85% of active sites contain serious vulnerabilities. It prevents data leaks, defacement, and script injection attacks. Because foreign WAFs are expensive, XG-Guard gives local developers an affordable, fast, and intelligent alternative. It boosts national cyber defense, promotes local AI research, and inspires innovation. Controlled tests showed high accuracy, fast response time, and strong attack prevention results, proving it can protect thousands of local websites.

Built with

Go (Golang)PythonKerasML Payload ClassifierReverse Proxy

Key features

  • AI-based malicious payload detection
  • Real-time blocking of SQLi, XSS, and other attacks
  • Reverse-proxy firewall compatible with any website
  • High-speed request handling using Go
  • 99.93% detection accuracy in testing
  • 35% lower latency compared to traditional WAFs
  • Blocks 10,000+ simulated attack payloads in lab tests
  • Affordable deployment costing less than $40/year
  • Simple attack explanations for non-technical users
  • Supports future Bangla-language threat datasets

More work

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