1. A method, comprising: collecting, via a processor, usage information associated with an identity credential of a user, wherein the usage information defines interactions of the user in a trust framework when the identity credential is used in the trust framework; applying, via the processor, at least one machine learning algorithm to the usage information collected; creating, via the processor and as a result of applying the at least one machine learning algorithm, two or more distributed graph databases, wherein each graph database stores identity credential lifecycle data defining a usage behavior and usage pattern for the user and the identity credential; determining, based on the identity credential lifecycle data, that subsequent usage information of the identity credential of the user fails to conform to the usage behavior and/or the usage pattern defined for the user and the identity credential; and sending a signal across a communication network to at least one receiving device in response to determining the subsequent usage information of the identity credential of the user fails to conform to the usage behavior and/or the usage pattern defined for the user and the identity credential.