Problems

What will AGI do for Anonymize Production Data?

Data engineering and DevOps teams need realistic datasets to test application changes and train machine learning models, but production databases are filled with sensitive customer records. Copying this data directly into development environments violates compliance frameworks like GDPR and HIPAA. Engineers are stuck either writing custom scripts to mask sensitive fields or working with synthetic datasets that fail to capture real-world edge cases.