Case Study: Large Automotive Company finds privacy risks and stale data with Protecto

Find privacy risks and stale data

A large automotive company in the US used Protecto to address privacy risks after its European division migrated a large volume of data to Microsoft Azure Blob storage. The privacy team needed to find personally identifiable information hidden across nearly a million files, while also determining whether the data was actively used or stale enough to archive.

Protecto provided a turnkey solution with pre-built Azure Blob integration, using distributed processing, smart sampling, and customized ML models to scan 1M+ data objects and identify both standard and customer-defined personal data types. The results showed 100% of personal data was discovered and mapped, and 99% of the data was never used, helping the company archive stale files, reduce privacy risk tenfold, and save months of manual analysis work.