AIWAF: An AI Powered Web Application Firewall Beyond Rate Limiting
Web application security often feels like an arms race. Attackers automate their scans, rotate IPs, and exploit zero-days. Traditional defenses like static IP blocking, hardcoded keyword filters, or even simple rate limiting don’t keep up. That’s where AIWAF (AI Web Application Firewall) comes in.
AIWAF is an open-source project that brings adaptive, AI driven protection to modern web applications. Instead of relying on static rules, AIWAF learns from request patterns in real time. It can detect anomalies, block malicious IPs, and even flag suspicious form submissions using honeypot fields and timing checks.
Key Features
- Adaptive Middleware – Plug-and-play middleware for Django and Flask.
- AI-Powered Detection – Machine learning based anomaly detection, not just static signatures.
- Dynamic IP & Keyword Blocking – Responds in real time to unusual spikes in error codes or malformed requests.
- Flexible Storage – Blacklists stored in CSV or database, depending on your setup.
Why It Matters
AIWAF is built for developers and security conscious teams who want more than “set and forget” firewalls. By combining machine learning with practical security techniques, it helps close the gap between attackers’ automation and defenders’ static defenses.
Whether you’re running a Django blog or a Flask API in production, AIWAF can integrate directly into your stack and start protecting your endpoints right away.
Learn More
- Project site: aiwaf.org
- Documentation: AIWAF Docs
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