From time to time, we release papers and blog posts related to Cloud DLP. They are listed here.
How tokenization makes data usable without sacrificing privacy
Tokenization, sometimes referred to as pseudonymization or surrogate replacement, is widely used in industries like finance and healthcare to help reduce the use of data in use, compliance scope, and minimize sensitive data being exposed to systems that do not need it. With Cloud DLP, customers can perform tokenization at scale with minimal setup.
Using Cloud DLP to de-identify and obfuscate sensitive information
The team discusses how to leverage Cloud DLP to protect data by automatically incorporating data obfuscation and minimization techniques into your workflows.
Using Cloud DLP to find and protect PII
Scott Ellis, Cloud DLP Product Manager, discusses how to leverage Cloud DLP to increase your privacy posture.
Scanning BigQuery with Cloud DLP
The team shares how to easily scan BigQuery from the Google Cloud Platform Console.
Automating the classification of data uploaded to Cloud Storage
This tutorial shows how to implement an automated data quarantine and classification system using Cloud Storage and other Google Cloud Platform products.