Show HN: Nginx-defender – realtime abuse blocking for Nginx (github.com)

Nginx-defender has been introduced as a real-time abuse blocking solution and Web Application Firewall (WAF) tailored for modern web infrastructures. Built using Go, it leverages machine learning for anomaly detection while offering advanced security analytics to enhance web application security. The system features a multi-backend firewall support, allowing integration with various platforms like iptables and nftables, and can manage over 50,000 rules per second, significantly improving threat response times compared to conventional WAFs. This development is significant for the AI/ML community as it integrates real-time machine learning threat detection, which many commercial WAFs do not provide natively. The architecture includes a threat detection engine that utilizes both machine learning and pattern matching, ensuring adaptability and responsiveness to evolving threats. A unique aspect of nginx-defender is its clustering support and geographic intelligence, which enable centralized management and real-time alerting through multiple notification channels. Overall, nginx-defender represents a step forward in securing web applications with its advanced, scalable, and efficient threat mitigation capabilities.