Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to utilize natural language processing operations to produce technology standard document segments from a technology standard document. The technology standard document segments are converted to a knowledge graph characterizing relationships between the technology standard document segments. The structure of the knowledge graph, regulatory compliance rules and product information are utilized to derive large language model prompts for technology standard document segments. Output from the large language model is used to form probability ratings of requirements to test the product.