I see areas in Radware Cloud WAF Service for improvement, specifically in its initial tuning period, because the machine learning model takes two to three weeks for baseline behavior establishment. Closely monitoring alerts during this period is essential to avoid false positives. There's an alert noise issue; during the early stages, we received a high volume of alerts for minor issues, requiring collaboration with the SOC team to fine-tune thresholds and concentrate on genuine threats. The documentation is not up to par, as while the platform's system is robust, the documentation, particularly for API integration, could be more developer-friendly with real-world use cases.
