Abstract: Systems and methods are provided for implementing machine learning techniques to distinguish a real identity, such as a set of identity information representing a real person, from a synthetic identity that may include portions of real identity information. Attributes regarding a target identity derived from a variety of retrieved data records may be provided as input to multiple machine learning models that generate scores associated with the potential of the target identity being synthetic. The scores may be combined and compared to a threshold to generate a determination of whether the target identity is a synthetic identity.