AI-WAF and AI-Driven-Web-Application-Firewall-WAF

AI-WAF
32
Emerging
AI-Driven-Web-Application-Firewall-WAF
32
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 9/25
Maintenance 2/25
Adoption 2/25
Maturity 15/25
Community 13/25
Stars: 32
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 2
Downloads: —
Commits (30d): 0
Language: HTML
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About AI-WAF

jackaduma/AI-WAF

AI driven Web Application Firewall

This project helps operations engineers and cybersecurity professionals protect web applications by identifying malicious requests. It takes in raw web query data (both good and bad examples) and produces a trained AI model that can distinguish between safe and harmful web traffic. The end-user is typically someone responsible for maintaining the security and uptime of web applications.

Web Security Application Protection Cyber Defense Threat Detection WAF

About AI-Driven-Web-Application-Firewall-WAF

akshanthsaik/AI-Driven-Web-Application-Firewall-WAF

AI-powered Web Application Firewall utilizing a Random Forest model to block SQL injection, XSS, and other web attacks. Features real-time proxy integration, an interactive dashboard, and explainable machine learning.

Related comparisons

AI-WAF and Advanced-WAF-WAFinity AI-WAF and Advanced-WAF-WAFinity

Scores updated daily from GitHub, PyPI, and npm data. How scores work