How It Works

The core of our platform is the exclusive ProteX technology, created by us based on machine learning algorithms, which delivers outstanding results in detecting advanced bots and ad network moderators that are indistinguishable from regular users.

Machine learning proved to be the perfect tool for analyzing fingerprints with their vast array of contributing factors. Cloaking Master uses its proprietary ProteX machine learning technology, which continuously learns and accurately recognizes unwanted visitors well beyond the checks initially programmed into it.

The foundation of ProteX is a self-learning model built on the principles of a discrete Bayesian classifier. It can be thought of as a system with a single "central brain" — a common dataset containing basic patterns and rules — and numerous "local specializations," or child datasets, each individual to a specific stream.
Thanks to this approach, ProteX doesn’t just analyze incoming traffic; it continuously learns from it. Each stream creates its own context and accumulated experience, enabling the system to adapt to its unique characteristics for more accurate filtering, classification, and decision-making.