Stop the Bots: Practical Lessons in Machine Learning

To inform our machine learning models, we rely on data from the 13 million domains on Cloudflare’s network, which sees more than 660 billion requests per day serving more than 2.8 billion people per month. We recently analyzed one day’s worth of requests from across all of Cloudflare’s 13 million domains — 660 billion requests — and labeled each potential attack with a ‘bot score’ ranging from 0 to 100. Having compiled a large dataset sampled from Cloudflare’s network, our team of ML experts developed a state-of-the-art model to predict automated credential stuffing and other bot attacks.

Source: blog.cloudflare.com