Machine learning system for computing asset access

TL;DR: In various example embodiments, a method for controlling computing asset access using machine learning is presented, wherein the access data for a user indicate an access history by that user to one or more available assets.

Abstract: In various example embodiments, a method for controlling computing asset access using machine learning is presented. In an example embodiment, access data for each user of a plurality of users are accessed, wherein the access data for a user indicate an access history by that user to one or more available assets. Using a machine learning algorithm, the access data of each user are analyzed to generate a characteristic associated with the access data of each user. An indication of a current access attempt of one of the assets is received using an identity of a first user. A characteristic associated with the current access attempt is compared to the characteristic associated with the access data of the first user. Based on the comparison, an authentication process is selected for presentation to the first user for the current access attempt.