Case Study: Semrush achieves automated attack blocking and adaptive web app protection with Wallarm

Semrush blocks attacks in 14 months with Wallarm

Semrush, a leading competitive research service for online marketing, faced a significant security challenge due to its proprietary web application architecture. Their rapid growth and unique features required a security solution that could automatically block attacks and scale seamlessly. They turned to Wallarm for its adaptive machine learning-based security product to protect their web application without demanding constant attention from their internal team.

Wallarm implemented its solution by deploying its filtration nodes as NGINX modules. After a successful testing and AI training period, the system was switched to full blocking mode. The solution successfully identified and blocked attacks, including brute-force attempts, and provided notifications that enabled ultra-quick vulnerability fixes. Semrush reported that Wallarm adapted perfectly to their evolving environment, significantly reducing the risk of exploitation and scaling effortlessly with their infrastructure growth.

Semrush