We’ve built a data classification system that uses multiple data signals, a scalable system architecture, and machine learning to detect semantic types within Facebook at scale. This is important in situations where it’s necessary to detect where an organization’s data is stored in many different formats across various data stores. In these cases, a classification system enables organizations to automatically enforce privacy- and security-related policies, such as access control policies. Our new system scales to both persistent and nonpersistent user data, with no additional constraints on the type or format of data.
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