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.
No commits in the last 6 months.
Use this if you need to build or enhance a Web Application Firewall (WAF) to detect and block new and evolving web attack patterns using deep learning.
Not ideal if you are looking for an out-of-the-box WAF solution rather than a toolkit for developing one, or if you lack the expertise to train and deploy deep learning models.
Stars
32
Forks
3
Language
Python
License
MIT
Category
Last pushed
Dec 12, 2022
Commits (30d)
0
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