An organization’s development team is testing a new web application in a dedicated environment. They have retained significant amounts of testing data without a structured routine for removal or archiving. Which method helps maintain control of this data from creation through disposal and minimizes leakage risk?
Mark older records as high risk but skip implementing any automated removal
Use scheduled processes that remove outdated items once they are no longer needed
Create encrypted archives of old data to retain it in the test environment long term
Have each developer decide when to delete sample files from the environment
Implementing scheduled processes for data removal ensures consistent oversight and minimizes residual risk in test environments. Without a structured approach, relying on manual cleanups or indefinite storage—even if password-protected—can result in data being overlooked, leading to potential exposure or compliance violations. Systematic data lifecycle management is essential for maintaining secure and efficient environments.
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