Cybereason’s Endpoint Detection and Response Platform leverages big data, behavioral analytics, and machine learning to automatically hunt complex cyber attacks in real time. By providing a full visual map of malicious operations, Cybereason gives its customers immediate visibility into advanced threats inside their network and enables rapid, effective response. Its customers and partners include Wipro Ventures, Lockheed Martin, SoftBank, and other enterprise customers across all verticals worldwide.
|2014||Jan 2014 10:00 PM||4.6||4403|
|2015||Sep 2015 09:00 PM||59.0||4403|
|2015||Apr 2015 09:00 PM||25.0||4403|
|2017||May 2017 09:00 PM||100.0||4403|
|2019||Jul 2019 09:00 PM||200.0||4403|
AI Technology Stack
Cybereason Prevention employs a multi-layered approach through intelligence-based conviction capabilities to block known threats and machine learning algorithms that analyze behavioral and static attributes to instantly block fileless attacks, new malware variants, and other novel threats, eliminating lengthy investigations. The machine learning algorithms analyze both behavioral and static attributes of processes and files – blocking the execution of fileless attacks, new malware variants, and never-before seen threats, instantly. Behavioral prevention of unknown threats ensures gaps in defenses are addressed.
The Hunting Engine uses artificial intelligence, machine learning and behavioral techniques to detect a complete cyber attacks.
The Hunting Engine is a purpose built, in-memory graph and data storage that performs real time, continuous data collection and adaptive entity correlation. It continuously pulls in millions of pieces of data from the Endpoint and Server Sensors, and maintains the millions of relationships between data entities.
Its unique ability to ask 8 million questions per second, is the basis for its automated hunting capabilities. The engine builds an evolving, in-memory, real-time view of your environment and portrays a picture of an emerging attack.