GenXSS is a novel framework that leverages Large Language Models to significantly improve detection of Cross-Site Scripting attacks in Web Application Firewalls.

• Addresses the limitations of traditional WAFs that struggle with highly obfuscated and complex XSS attacks
• Employs generative AI to enhance detection capabilities without manual rule updates
• Offers a more adaptable approach to cybersecurity as attack techniques evolve
• Demonstrates how AI can be applied to strengthen security infrastructure

This innovation represents a critical advancement for security teams managing web applications, potentially reducing vulnerability to one of the most common attack vectors while decreasing maintenance overhead.

Original Paper: GenXSS: an AI-Driven Framework for Automated Detection of XSS Attacks in WAFs