Systems, methods, and apparatuses for detecting AI masking using persistent response testing in an electronic environment

A computer program product for detecting artificial intelligence (AI) masking using persistent response testing, wherein the computer program product comprises at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions which when executed by a processing device are configured to cause the processor to perform the following operations:

• identify a vocal request during a user session;
• trigger, based on the vocal request, a sound capture for a plurality of vocal cues associated with the vocal request;
• generate a primary prompt associated with the vocal request;
• receive, based on the primary prompt, a primary vocal cue data during the user session;
• determine at least one primary vocal characteristic based the primary vocal cue data;
• generate at least one secondary prompt associated with the vocal request for at least one second period;
• receive, based on the at least one secondary prompt, at least one secondary vocal cue data during the user session;
• determine at least one secondary vocal characteristic based on the one secondary vocal cue data;
• compare the at least one primary vocal characteristic to the at least one secondary vocal characteristic received during the user session;
• and
• determine, based on the comparison, whether the vocal request is based on artificial intelligence (AI),
• wherein, in an instance where the at least one primary vocal characteristic matches the at least one secondary vocal characteristic, determine the vocal request for the user session is based on AI.

A computer implemented method for detecting artificial intelligence (AI) masking using persistent response testing, the computer implemented method comprising:

• identifying a vocal request during a user session;
• triggering, based on the vocal request, a sound capture for a plurality of vocal cues associated with the vocal request;
• generating a primary prompt associated with the vocal request;
• receiving, based on the primary prompt, a primary vocal cue data during the user session;
• determining at least one primary vocal characteristic based the primary vocal cue data;
• generating at least one secondary prompt associated with the vocal request for at least one second period;
• receiving, based on the at least one secondary prompt, at least one secondary vocal cue data during the user session;
• determining at least one secondary vocal characteristic based on the one secondary vocal cue data;
• comparing the at least one primary vocal characteristic to the at least one secondary vocal characteristic received during the user session;
• and
• determining, based on the comparison, whether the vocal request is based on artificial intelligence (AI),
• wherein, in an instance where the at least one primary vocal characteristic matches the at least one secondary vocal characteristic, determining the vocal request for the user session is based on AI.