Nemesida WAF operation is based on classical machine learning algorithm «Random Forest» which is able to detect attacks with minimum response time and hight accuracy, almost without false positives detect attacks and for computing it is enough processor Intel Core i3 or higher.
Nemesida WAF is well-scalable, does not have limits of virtual hosts number and traffic limits and additional modules like vulnerability scanner, virtual patching system and personal cabinet will make Nemesida WAF usage easy and transparent. Now it does not require to create exclusion rules — the machine learning module will adapt for every web application. Keep track of the incidents in personal cabinet and enjoy Nemesida WAF.
Also we will conduct a pilot project: we will help to deploy Nemesida WAF and make an initial launch.
Use the forum to find answers to common questions, or use personal technical support ($115/hour).