Protecting against APTs with Machine learning

Machine learning is a science that uses existing data on a subject to train a computer how to identify related data. Just like with humans, the more training a machine learning algorithm gets, the more likely it is to succeed at its task. We have an extensive amount of information on attacks that can be used to train machines. After all, new attacks come out every day and over a hundred million malware samples have been collected each year since 2014. This information, as well as the historical information, can be fed into machine learning algorithms to better understand the attacks that haven't happened yet.