Due to malicious bots, which account for 32% of all traffic, many companies face compromised service fairness and decreased system efficiency. Incidents like credential stuffing and fairness issues in ticketing due to macros (such as the Taylor Swift ticketing incident) can harm service reliability, damage branding, and lead to customer churn.

MBUSTER helps protect users from unfair transactions and ensures system performance through malicious bot detection and management, enhancing service reliability. It can control both common bots and less conventional bots, such as those based on Selenium tools.

Using static, dynamic, and machine learning-based detection, MBUSTER identifies and blocks malicious bots, maintaining system resources and fairness through behavior analysis, root-level detection of Selenium tool scripts, and web scraping prevention.