Wallarm
27 Case Studies
A Wallarm Case Study
Semrush, a world-leading competitive research service for online marketing, required a modern security solution that could protect its proprietary web application architecture. Off-the-shelf tools struggled to adapt to their unique environment. They needed a solution from a vendor like Wallarm that could automatically block attacks, scale with their rapid growth, and reduce the manual burden on their security team.
Wallarm implemented its machine learning-based security solution, deploying it initially in a testing environment before moving to production. After a period of AI training, the system was switched to active blocking mode. Wallarm adapted to Semrush's specific features and scaled its filtration nodes alongside the company's infrastructure. The results included successful blocking of brute-force attacks and rapid vulnerability fixes based on Wallarm's notifications, significantly reducing exploitation risk without requiring ongoing dedicated effort from the internal security team.