Adversarial Testing Framework for Bot-Detection Hardening

An internal red-team framework that hardens a security company’s own bot-detection products with realistic, labeled adversarial data for its R&D team. Authorized testing of our own systems.

Highlights

• Orchestrated evasive automation — adversarial Selenium, AI browser-automation via browser-use, anti-detect browsers via AdsPower — with humanization: human-like typing and mouse movement, plus network- and application-layer spoofing.
• Became the primary tool for benchmarking our own detection against the broader market (Cloudflare, DataDome, Akamai, FingerprintJS) and for moving detection toward behavioral biometrics.