Automating compliance control mapping with AI and LLMS
Methods, systems, and devices for automating compliance control mapping are described. In some implementations, the system may ingest compliance artifacts, including text and images extracted from uploaded files. The ingested compliance artifacts may be analyzed by generating vector embeddings for the extracted text and images. These vector embeddings may be mapped to compliance controls based on predefined criteria, with the compliance controls stored in a knowledge graph database. The mappings between the vector embeddings and the compliance controls may be stored in the knowledge graph database, facilitating efficient retrieval and association of compliance information. Some implementations may enhance the accuracy and efficiency of compliance documentation by leveraging advanced computational techniques and structured data storage.
1 . A method for automating compliance control mapping, comprising:
obtaining 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;
extracting text and images from the files, the text and images forming the compliance artifacts contained within the files;
analyzing the compliance artifacts by generating vector embeddings for the text and images;
mapping 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
storing the mappings between the vector embeddings and the compliance controls in the knowledge graph database.
2 . The method of claim 1 , further comprising extracting metadata from the compliance artifacts, the metadata including file type, creation date, and author information, and associating the metadata with the vector embeddings stored in the knowledge graph database.
3 . The method of claim 1 , further comprising generating compliance documentation templates based on the mappings stored in the knowledge graph database, the templates tailored to specific ones of the frameworks selected by a user.
4 . The method of claim 1 , further comprising retrieving evidence from external systems through secure application programming interface (API) integration interfaces, the evidence including configuration files, runtime logs, and code repositories, and associating the evidence with the compliance controls in the knowledge graph database.
5 . The method of claim 4 , wherein the secure API integration interfaces facilitate data exchange with the external systems, enhancing the retrieval of the evidence for compliance evaluation.
6 . The method of claim 1 , further comprising converting the mappings stored in the knowledge graph database into vector representations, the vector representations enabling similarity searches to identify related compliance controls across multiple ones of the frameworks.
7 . The method of claim 1 , further comprising providing a user interface for uploading the files containing the compliance artifacts, the user interface configured to display mapping results and generate reports based on the mappings stored in the knowledge graph database.
8 . The method of claim 6 , wherein the user interface provides options for selecting the frameworks, enabling customization of mapping processes according to user preferences.
9 . The method of claim 1 , wherein the vector embeddings are generated in response to predefined criteria that include keyword identification and contextual analysis of the text and images.
10 . The method of claim 1 , wherein the knowledge graph database is updated in response to changes in the frameworks, ensuring the mappings reflect current regulatory standards.
11 . The method of claim 1 , further comprising generating alerts in response to discrepancies between the compliance artifacts and the compliance controls stored in the knowledge graph database.
12 . 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.
13 . The system of claim 12 , wherein the instructions are further executable by the processor to cause the system to: extract metadata from the compliance artifacts, the metadata including file type, creation date, and author information, and associate the metadata with the vector embeddings stored in the knowledge graph database.
14 . The system of claim 12 , wherein the instructions are further executable by the processor to cause the system to: generate compliance documentation templates based on the mappings stored in the knowledge graph database, the templates tailored to specific ones of the frameworks selected by a user.
15 . The system of claim 12 , wherein the instructions are further executable by the processor to cause the system to: retrieve evidence from external systems through secure application programming interface (API) integration interfaces, the evidence including configuration files, runtime logs, and code repositories, and associate the evidence with the compliance controls in the knowledge graph database.
16 . The system of claim 12 , wherein the instructions are further executable by the processor to cause the system to: convert the mappings stored in the knowledge graph database into vector representations, the vector representations enabling similarity searches to identify related compliance controls across multiple ones of the frameworks.
17 . The system of claim 12 , wherein the instructions are further executable by the processor to cause the system to: provide a user interface for uploading the files containing the compliance artifacts, the user interface configured to display mapping results and generate reports based on the mappings stored in the knowledge graph database.
18 . The system of claim 12 , wherein the vector embeddings are generated in response to predefined criteria that include keyword identification and contextual analysis of the text and images.
19 . The system of claim 12 , wherein the knowledge graph database is updated in response to changes in the frameworks, ensuring the mappings reflect current regulatory standards.
20 . 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.