Machine Learning: When It Works and When It Doesn't

It's difficult to talk about security analytics without considering machine learning. Machine learning is used to detect malicious websites, flow anomalies, infectious files, infected endpoints and user behavior anomalies. It's applied to big data repositories to glean information and insights that may otherwise go undetected. Multiple industries are using machine learning to better automate security screening, border entry, college applicant selection, loan analytics and health care. Behind the scenes, almost every industry that affects our daily lives involves some type of machine learning. Machine learning is based upon statistical analytics of existing data and learning applied to new data sets.