Collects the right security telemetry
Automatically hunts down hidden cyber threats
Reports accurate alerts and indicators of attack
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.
STEP BY STEP
THIS IS HOW
Collects enhanced Windows audit logs as well as Sysmon to provide an adequate visibility
Hunts trough historical data using supervised and unsupervised Machine Learning algorithms to discover hidden attack patterns and stealth threats
Provides a feed of high confidence security events containing rich contextual information and mapping to the MITRE ATT&CK
Scans in real-time the security data using our large library of more than 150 detection rules mapped to the MITRE ATT&CK framework.
Automatically enriches every event with additional contextual intelligence information available to our Threat Intelligence platform
Provides a regular feed with information of all the new assets and applications discovered in your environment