Using Machine Learning to Prevent Modern Cyberattacks - ChannelE2E

Machine learning is a process that applies advanced mathematical algorithms and powerful computing capabilities to quickly and efficiently analyze those data sets and identify patterns. In the case of IT security, correctly determining patterns helps create accurate predictions and detect behaviors that may be associated with malware or other attacks. Doing so in real time, or as near to real time as possible, can help prevent malware from infecting endpoints entirely. Why should MSPs care about machine learning? There might not seem like there's a direct connection, but it's the difference between reactive and preventative security.