A computer-implemented method for calculating an authenticity score for a user, the method comprising: a) calculating, by a facial evaluation system operatively associated with an electronic processor, a liveliness check score in response to analysis of image data associated with at least one anatomical change associated with an interaction between the user and a facial recognition application; b) calculating, by the facial evaluation system, a facial confirmation score by: i. generating a facial vector map based on image data associated with the user, ii. collecting data derived from at least one access device associated with the user or at least one identity input associated with the user, and iii. comparing at least a portion of the facial vector map data along with the access device data or the identity input data against at least a portion of image data stored in at least one database; c) calculating, by the facial evaluation system, an authorization score for the user in response to the calculated liveliness check score and the calculated facial confirmation score; d) calculating, by a risk evaluation system operatively associated with an electronic processor, a user score in response to at least a portion of profile data associated with at least one social network or professional network associated with a user account of the user, wherein calculating the user score further comprises processing at least one activity feed of the user account by calculating a frequency of posting, including calculating a mean and standard deviation for the frequency of posting to identify the user's burst usage pattern and to establish a baseline; e) calculating, by the risk evaluation system, an authenticity score for the user by combining the calculated user score, the calculated liveliness check score, and the calculated facial confirmation score; f) determining if the authorization score achieves a predetermined threshold and is sufficient to authenticate the user; g) one of combining or replacing the authorization score with the authenticity score if the authorization score is determined to be insufficient to authenticate the user; and h) communicating the authenticity score to a computer system. a) calculating, by a facial evaluation system operatively associated with an electronic processor, a liveliness check score in response to analysis of image data associated with at least one anatomical change associated with an interaction between the user and a facial recognition application; b) calculating, by the facial evaluation system, a facial confirmation score by: i. generating a facial vector map based on image data associated with the user, ii. collecting data derived from at least one access device associated with the user or at least one identity input associated with the user, and iii. comparing at least a portion of the facial vector map data along with the access device data or the identity input data against at least a portion of image data stored in at least one database; i. generating a facial vector map based on image data associated with the user, ii. collecting data derived from at least one access device associated with the user or at least one identity input associated with the user, and iii. comparing at least a portion of the facial vector map data along with the access device data or the identity input data against at least a portion of image data stored in at least one database; c) calculating, by the facial evaluation system, an authorization score for the user in response to the calculated liveliness check score and the calculated facial confirmation score; d) calculating, by a risk evaluation system operatively associated with an electronic processor, a user score in response to at least a portion of profile data associated with at least one social network or professional network associated with a user account of the user, wherein calculating the user score further comprises processing at least one activity feed of the user account by calculating a frequency of posting, including calculating a mean and standard deviation for the frequency of posting to identify the user's burst usage pattern and to establish a baseline; e) calculating, by the risk evaluation system, an authenticity score for the user by combining the calculated user score, the calculated liveliness check score, and the calculated facial confirmation score; f) determining if the authorization score achieves a predetermined threshold and is sufficient to authenticate the user; g) one of combining or replacing the authorization score with the authenticity score if the authorization score is determined to be insufficient to authenticate the user; and h) communicating the authenticity score to a computer system.