Preserving privacy and security of enterprise data for generative artificial intelligence enabled applications

A system comprising

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive a plurality of data pertaining to one or more generative artificial intelligence (Gen AI) enabled applications deployed in a network;
• preprocess the plurality of data to obtain a plurality of preprocessed data by performing at least one of:
• (i) a first set of filtering operations on the plurality of data, and (ii) a masking operation on the plurality of data based on one or more predefined user configurations, wherein the one or more filtering operations comprises (i) a prompt injection detection, (ii) profanity detection, and (iii) toxicity and bias detection;
• input the plurality of preprocessed data to at least one of (i) a large language model, and (ii) an artificial intelligence based model, to obtain a masked output generated for the plurality of data, wherein each of the at least one of (i) the large language model, and (ii) the artificial intelligent based model comprises one or more configuration layers;
• perform an unmasking operation on the masked output generated for the plurality of data to obtain an actual output corresponding to the plurality of data;
• and
• perform a second set of filtering operations on the actual output corresponding to the plurality of data to obtain a final secured actual output corresponding to the plurality of data, wherein the second set of filtering operations comprises at least one of:
• (i) a code and a model scanning mechanism (ii) contextual correctness detection, (iii) profanity detection, and (iv) toxicity and bias detection.

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving a plurality of data pertaining to one or more generative artificial intelligence (Gen AI) enabled applications deployed in a network;
• preprocessing the plurality of data to obtain a plurality of preprocessed data by performing at least one of:
• (i) a first set of filtering operations on the plurality of data, and (ii) a masking operation on the plurality of data based on one or more predefined user configurations, wherein the one or more filtering operations comprises (i) a prompt injection detection, (ii) a profanity detection, and (iii) toxicity and bias detection;
• inputting the plurality of preprocessed data to at least one of (i) a large language model, and (ii) an artificial intelligence based model, to obtain a masked output generated for the plurality of data, wherein each of the at least one of (i) the large language model, and (ii) the artificial intelligent based model comprises one or more configuration layers;
• performing an unmasking operation on the masked output generated for the plurality of data to obtain an actual output corresponding to the plurality of data;
• and
• performing a second set of filtering operations on the actual output corresponding to the plurality of data to obtain a final secured actual output corresponding to the plurality of data, wherein the second set of filtering operations comprises at least one of:
• (i) a code and a model scanning mechanism (ii) a contextual correctness detection, (iii) a profanity detection, and (iv) toxicity and bias detection.