Generation of Large Test Data Sets
Description
Using generative AI modeling, we will create large volumes of test data so that quality assurance, external audits and penetration testing, system demos & integration, etc., can use that generated test data at scale.
Detailed example
Test Data Sample and/or mock up of test data from the applications used within the environment
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Developing and operating with a test set of data will enable engagements between HSTF and external groups, where manual generation of test data at scale is not feasible.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Not reported; PIA: Not published