17. A method for providing compliance evidence for a virtual computing service provider, the method comprising: receive a request for providing regulatory compliance evidence, that is signed and maintained, for a virtual computing service provider, using at least one hardware processor and a memory configured with executable instructions; categorize key words relating to subject matter of the request for interpreting the request, using the at least one hardware processor and the memory; map categorized key words relating to subject matter of the request to source documentation for associating the request with the regulatory compliance evidence, using the at least one hardware processor and the memory; develop a confidence level for the 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 mapped to the source documentation with a summary of the regulatory compliance evidence signed with a set of digital signatures, 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 in order to modify the confidence level, using the at least one hardware processor and the memory.
17. A method for providing compliance evidence for a virtual computing service provider, the method comprising: receive a request for providing regulatory compliance evidence, that is signed and maintained, for a virtual computing service provider, using at least one hardware processor and a memory configured with executable instructions; categorize key words relating to subject matter of the request for interpreting the request, using the at least one hardware processor and the memory; map categorized key words relating to subject matter of the request to source documentation for associating the request with the regulatory compliance evidence, using the at least one hardware processor and the memory; develop a confidence level for the 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 mapped to the source documentation with a summary of the regulatory compliance evidence signed with a set of digital signatures, 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 in order to modify the confidence level, using the at least one hardware processor and the memory. 18. The method of claim 17 , further comprises executable instructions that authenticate the response by encrypting a portion of data associated with the response for providing the digital signature, using the at least one processor and memory, wherein the set of digital signatures includes an aggregation of digital signatures relating to at least one of regulatory compliance evidence or the authenticated user feedback.