Quote from Lou Ferrucci on March 21, 2023, 7:19 pm

With differential privacy,MDACA SDE provides the capability to leverage statistically relevant test data while safeguarding the corresponding real data. SDE utilizes de-identified data as input to generate the synthetic data that is structurally and statistically similar to the underlying real data. Without disclosing the real data, SDE provides highly accurate synthetic data in support of the Software Development Life Cycle (SDLC) and ML models with accurate input for training the algorithms.