SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR ANOMALY DETECTION

The invention provides systems and methods for detection of anomaly events or error events within a process environment by implementing a hybrid of centralized classifier models and edge node based classifier models. The invention comprises (i) receiving a first set of information from a first set of field devices located within a process control environment, (ii) transmitting a first input vector generated based on the first set of information, to a first anomaly detector implemented within an edge node configured to provide gateway access to said process control environment, wherein said first anomaly detector implements a first classifier model, (iii) responsive to the first anomaly detector detecting a anomaly event based on the transmitted first input vector, transmitting a second input vector to a second anomaly detector implemented within a cloud based server, and (iv) generating a anomaly event alert responsive to at least one of the first anomaly detector and the second anomaly detector detecting an anomaly event.