Seceon’s approach is to apply advanced data collection and analysis, machine learning and patent-pending predictive behavioral analytics to detect threats – both by machine and human. We call it aiSIEM™. To do this we first collect metadata from network data flows. If it moves on the network we can see it. Next we apply a set of advanced threat models and use machine learning algorithms to identify the threats. We apply aiSIEM and our Machine Learning Engine to sort threat behavior from normal behavior. We then correlate these behaviors to confirm the threat and determine its threat level. This approach allows our aiSIEM solution to be deployed on premises, in the cloud or in hybrid environments. Seceon’s aiSIEM contains and eliminates threats in real-time.