Presented by
Arif Muhammad and Abhijit Mugali CA Technologies
Maximize Test Coverage and Software Security
About this talk
Traditionally, test data management has involved copying, masking, and subsetting production data. While masking data does offer production-like data, it’s also slow, complex, and often error-prone, increasing the risk of sensitive information making it to less secure test environments.
View this event to discover how synthetic data generation can create realistic test data that contains no sensitive information. What’s more, this test data will contain the negative paths, future scenarios, and outliers not typically found in production, providing the data needed to maximize test coverage.
You will also learn:
-The drawbacks of using production data in testing, from compliance to provisioning time and quality
-How data visualization can be used to identify any data missing from production needed for rigorous testing
-How masking can be combined with synthetic data generation to plug any gaps in test data
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