When the Terraform code WAFPolicy is set to "Prevention" mode, what is correlated to an anomaly score before traffic is blocked?

When the Terraform code for the Web Application Firewall (WAF) Policy is set to "Prevention" mode, the focus shifts to actively monitoring and responding to potentially malicious traffic. In this mode, the WAF assigns an anomaly score to incoming traffic based on various factors, and this score helps determine whether to block a particular request.

Rule severity plays a pivotal role in this scoring system. Each rule within the WAF is assigned a severity level which indicates the potential risk associated with traffic that violates that rule. When traffic is analyzed, the WAF assesses how many rules have been triggered and their respective severities. Higher severity rules contribute more significantly to the anomaly score, which in turn influences whether the traffic is allowed or blocked. This scoring mechanism enables a nuanced approach to threat detection, allowing the WAF to make informed decisions about which requests to prevent.

In this context, while aspects such as rule compliance, traffic volume, and request origin are relevant for the overall understanding of web application security and traffic analysis, it is the severity of the triggered rules that directly impacts the calculation of the anomaly score leading to traffic being blocked in "Prevention" mode.