FortiWeb’s AI-based machine learning evaluates application requests to determine if they are normal, benign anomalies, or anomalies that are threats and this way it nearly eliminates false positive detections and hence the need to manually fine tune WAF rules.
The anomaly detection model of machine learning feature observes the URLs, parameters, and HTTP Method of HTTP and/or HTTPS sessions passing to your web servers and builds mathematical models to detect abnormal traffic.
Compared to other vendor which uses positive security model to Learn known good, and fine tune policy around it, FortiWEB help you perform these tasks using its advanced AI-Based Machine learning model.
On top this, FortiWeb has "Monitor Mode" option under Server policy which will help Alert Traffic violation and not actually block them during the initial deployment or testing phase. This is to ensure that your Legitimate traffic is allowed while it still block the real attack.
The Fortinet Security Fabric brings together the concepts of convergence and consolidation to provide comprehensive cybersecurity protection for all users, devices, and applications and across all network edges.