Automating compliance control mapping with AI and LLMS

A system configured for automating compliance control mapping, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the system to:
• obtain files containing compliance artifacts, the compliance artifacts being subject to compliance controls, the compliance controls being associated with regulatory standards, the regulatory standards defining frameworks to which the compliance controls adhere;
• extract text and images from the files, the text and images forming the compliance artifacts contained within the files;
• analyze the compliance artifacts by generating vector embeddings for the text and images;
• map the vector embeddings to the compliance controls in response to predefined criteria to generate mappings between the vector embeddings of the compliance artifacts and the compliance controls, the compliance controls stored in a knowledge graph database;
• and
• store the mappings between the vector embeddings and the compliance controls in the knowledge graph database.

A non-transitory computer-readable medium storing code for automating compliance control mapping, the code comprising instructions executable by a processor to:

• obtain files containing compliance artifacts, the compliance artifacts being subject to compliance controls, the compliance controls being associated with regulatory standards, the regulatory standards defining frameworks to which the compliance controls adhere;
• extract text and images from the files, the text and images forming the compliance artifacts contained within the files;
• analyze the compliance artifacts by generating vector embeddings for the text and images;
• map the vector embeddings to the compliance controls in response to predefined criteria to generate mappings between the vector embeddings of the compliance artifacts and the compliance controls, the compliance controls stored in a knowledge graph database;
• and
• store the mappings between the vector embeddings and the compliance controls in the knowledge graph database.