Data security and protecting confidential and PII data (Personally identifiable information) is one of the important aspects of any application.

Data can reside in structured sources like databases or unstructured sources like logs, chat messages, images containing proof/sensitive details etc.  All these data need to be analyzed, secured and masked.

One way is to sanitize and mask the sensitive data is through a process called tokenization. Tokenization basically masks out or replaces sensitive data with characters which can’t be identified by the end user.

Google Cloud provides Cloud Data Loss Prevention service which lets you to first discover the PII data from structured and unstructured sources and automatically mask the data based on your application needs. The DLP service provides APIs which makes it easy to detect and transform values containing sensitive data. You can use built type detectors, such as Age, SSN, email etc. or create custom detectors based on your application requirements.

Cloud Data Loss Prevention service provides a unified way to manage, detect and transform sensitive data across your data sources and make your application secured, regulated and compliant.

For more details, visit the DLP website – https://cloud.google.com/dlp/