The massive scale, dimensionality, and heterogeneity of user application data requires an adaptive approach to detect malicious actions. This session will demo Morpheus, an open source framework, that supports assembling of multiple machine learning models to dynamically fingerprint users based on time series, categorical, and quantitative data and extract deviations from typical activity.