How is machine learning different from traditional email filtering?

Traditional email filtering is based on fixed rules, meaning that email security experts are supposed to define them first. These rules are established after analyzing known threats and are, therefore, ineffective against unknown threats. ML-based filtering is adaptive and relies on massive volumes of real-world data to continuously refine its protective capabilities over time.