SYSTEMS AND METHOD TO QUANTIFY PERSONAL IDENTITY CONFIDENCE SCORES AND AUTHENTICATION METRICS IN SMARTPHONE AND IOT DEVICE DATA

Embodiments of the present disclosure relates generally to advanced analytical methods and the software that is applied to certain input data, and, more particularly, to advanced analytical methods-such as artificial intelligence- and the software that is applied to data consisting of varied smartphone and peripheral device data by users-interacting either actively or passively with their smartphone and/or additional or peripheral Internet of Things ("IoT") devices to create an Artificial Intelligence-generated, Dynamic, Credentialling (AIDC) in order to enable more secure and automated authentications into computer systems, televisions, applications, any internet-of-things device and/or networks. The AIDC generates a Personal Confidence Score (PCS) identifying the user and the user's authenticity level.