Machine Learning: A Crystal Ball for Endpoint Protection

Over the last few years, endpoint protection has been evolving from being reactive to being proactive. Machine learning (ML) is the technology driving this transformation with its ability to generalize from past examples of malicious artifacts and behavior to predict new, never-before-seen samples in the wild. Join Jeff Johns, Director of Innovation and Custom Engineering at FireEye, as he highlights:

Why this paradigm shift is happening now even though relevant ML algorithms have been around for decades

Examples of ML models running in research and production as part of FireEye Endpoint Security