FADE provides a comprehensive visibility into threats that were able to evade all other detection controls. We achieve this through real-time hunts and historical Machine Learning hunts for the early detection of outsider and insider attacks.
FADE leverages unsupervised Machine Learning algorithms to identify and flag outliers in the behavior of processes, users and devices. This enables the early discovery of stealth threats and attacks.
With FADE there are no additional agents to manage or impacting critical business servers and applications. Data collection is done by native Windows tools and volatile scripts.
FADE scales up to 1000s of EPS. We collect all the meaningful data from every single device in the environment. Never miss a single event for troubleshooting, hunting, or IR investigations.