Generative artificial intelligence model output obfuscation

A computer-implemented method comprising:

• receiving, from each of a plurality of requesters, data characterizing a corresponding prompt for ingestion by a first generative artificial intelligence (GenAI) model;
• inputting, for each prompt at least a portion of the received data into the first GenAI model to obtain a first output;
• determining, for each first output, that the first output comprises or elicits malicious or undesired content;
• and
• initiating, in response to the determining, at least one remediation action;
• wherein, for a first subset of the prompts, the at least one remediation action comprises:
• inputting at least a portion of the first output along with obfuscation instructions to a second, different GenAI model to obtain a second output;
• and
• returning data characterizing the second output to the requester;
• wherein, for a second subset of the prompts, the at least one remediation action comprises:
• blocking an Internet Protocol (IP) and/or medium access control address (MAC) address of a corresponding requester from accessing the first GenAI model.

A computer-implemented method comprising:

• receiving, from each of a plurality of requesters, a corresponding prompt for ingestion by a first generative artificial intelligence (GenAI) model;
• determining, for each prompt, that the prompt comprises or elicits malicious content or undesired model behavior;
• initiating, in response to the determining, at least one remediation action;
• wherein, for a first subset of the prompts, the at least one remediation action comprises:
• inputting the prompt into the first GenAI model to obtain a first output;
• inputting the prompt, the first output, and obfuscation instructions into a second, different GenAI model to obtain a second output;
• and
• returning data characterizing the second output to the corresponding requester;
• wherein, for a second subset of the prompts, the at least one remediation action comprises:
• blocking an Internet Protocol (IP) and/or medium access control address (MAC) address of a corresponding requester from accessing the first GenAI model.

A computer-implemented method comprising:

• receiving, from each of a plurality of requesters, a prompt for ingestion by a first generative artificial intelligence (GenAI) model;
• inputting, for each prompt, the prompt into the first GenAI model to obtain a first output;
• determining, for each first output, that the first output comprises or elicits malicious or undesired model behavior;
• initiating, in response to the determining, at least one remediation action;
• wherein, for a first subset of the prompts, the at least one remediation action comprises:
• inputting the prompt along with obfuscation instructions into a second GenAI model to obtain a second output;
• and
• returning data characterizing the second output to the requester;
• wherein, for a second subset of the prompts, the at least one remediation action comprises:
• blocking an Internet Protocol (IP) and/or medium access control address (MAC) address of a corresponding requester from accessing the first GenAI model.