1. A method for supplying regulatory compliance evidence for a service provider environment, the method comprising: receive a request for providing signed regulatory compliance evidence about a service provided by a service provider, using at least one hardware processor and a memory configured with executable instructions; provide a statistical analysis of subject matter relating to the request using machine learning for interpreting the request, using the at least one hardware processor and the memory; categorize the subject matter associated with the request according to the statistical analysis, using the at least one hardware processor and the memory; map categorized subject matter associated with the request to a control list, maintained for compliance regulations, that is mapped to the signed regulatory compliance evidence for associating the regulatory compliance evidence with the request, using the at least one hardware processor and the memory; develop a confidence level for the signed regulatory compliance evidence according to historical data relating to previously provided regulatory compliance evidence, wherein the confidence level indicates a statistical probability that the signed regulatory compliance evidence matches key words in the request, and a statistical regression model is used to create a machine learning model to establish the statistical probability by comparing currently mapped key words with previously mapped key words in previous requests, using the at least one hardware processor and the memory; provide a response, having both the regulatory compliance evidence associated with the request and the confidence level, with a set of digital signatures provided by the service provider, using the at least one hardware processor and the memory; and receive an authenticated user feedback response relating to the response indicating an accuracy level that the response matches the request, using the at least one hardware processor and the memory.