How can we manage and secure test data under regulationsnlike GDPR and CCPA?
Keep test data private by avoiding production data and favoring synthetic data that mimics real patterns. If you must reproduce a production issue, fully anonymize and break any link to personal information, track data provenance, and limit access. Maintain relationships between datasets when generating synthetic records and confirm your software suppliers meet privacy standards. This approach helps teams satisfy GDPR and CCPA while testing effectively.
— Coty Rosenblath, CTO at Katalon
Learn more
- How do we generate production-like synthetic data for testing
- 👉 https://katalon.com/resources-center/blog/synthetic-data-generation-katalon
- What is test data management and how do we run it at scale
- 👉 https://katalon.com/resources-center/blog/what-is-test-data-management
- How can non sensitive data power data-driven tests without exposing PII
- 👉 https://docs.katalon.com/katalon-studio/data-driven-testing/data-driven-testing-with-katalon-studio
- How do we handle sensitive fields in scripts when a secret is required
- 👉 https://docs.katalon.com/katalon-studio/create-test-cases/work-with-sensitive-text-in-katalon-studio
- How can we confirm our testing platform’s security and compliance posture
- 👉 https://docs.katalon.com/katalon-platform/security-and-privacy-faq
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