AI-Powered Web Application Firewall with a Real-Time Security Operations Center (SOC) Dashboard
Web applications have become critical components of modern digital infrastructure, making them frequent targetsof cyberattacks such as SQL injection, cross-site scripting, command injection, and directory traversal. Traditional Web Application Firewalls rely primarily on signature-based rule matchingandoftenfailtodetectobfuscatedorpreviouslyunseen attacks. This paper proposes an AI-enhanced Web Application Firewall that combines signature-based detection with machine learningbasedanomalydetectio
