White Paper: Hunting for Malware with Machine Learning
Defense strategies have run their course. The traditional security stack no longer provides the mission assurance enterprises need. Endgame brings offense to the enterprise by automating the hunt for adversaries that bypass the traditional security stack.
This white paper defines a new approach on how Endgame uses automated malware classification techniques to hunt for cyber adversaries within enterprise networks.
Dr. Hyrum Anderson
Hyrum Anderson is a principal data scientist at Endgame. Prior to joining Endgame he worked as a data scientist at FireEye Labs, Mandiant, Sandia National Laboratories, MIT Lincoln Laboratory, and green-tech startup Acclima. He received his PhD in Electrical Engineering (signal processing + machine learning) from the University of Washington and BS/MS degrees from BYU.