AI System Predicts 85 Percent of Cyber attacks Using Input from Human Experts - insideBIGDATA

Today's security systems usually fall into one of two categories: man or machine. So called "analyst driven solutions" rely on rules created by human experts and therefore miss any attacks that don't match the rules. Meanwhile, today's machine learning approaches rely on "anomaly detection," which tends to trigger false positives that both create distrust of the system and end up having to be investigated by humans, anyway. But what if there was a solution that could merge those two worlds? What would it look like?