Data Leak Detection in Generative Artificial Intelligence Model Output

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• embedding at least one unique identifying feature into a data file that includes confidential information;
• generating questions to be directed to a generative artificial intelligence platform, the generated questions having answers that indicate the presence of the embedded at least one unique identifying feature;
• transmitting, via the communication interface, to the generative artificial intelligence platform the generated questions;
• receiving, via the communication interface, output from the generative artificial intelligence, the output including answers to the transmitted generated questions;
• and
• determining whether the received answers include the at least one unique identifying feature.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• embed at least one unique identifying feature into a data file that includes confidential information;
• generate questions to be directed to a generative artificial intelligence platform, the generated questions having answers that indicate the presence of the embedded at least one unique identifying feature;
• transmit, via the communication interface, to the generative artificial intelligence platform the generated questions;
• receive, via the communication interface, output from the generative artificial intelligence, the output including answers to the transmitted generated questions;
• and
• determine whether the received answers include the at least one unique identifying feature.