Sensitive Data Protection

Google Cloud Sensitive Data Protection, formerly known as Cloud Data Loss Prevention, is a fully managed cloud service designed to discover, classify, inspect, and redact sensitive data across structured and unstructured storage repositories. Built to help organizations protect personally identifiable information and maintain data privacy standards, Sensitive Data Protection scans enterprise databases, cloud storage buckets, and streaming data pipelines. Key technical capabilities include over 150 predefined sensitive data detectors, custom regex and dictionary detectors, automated data masking and tokenization, format-preserving encryption, structured re-identification risk analysis, and continuous automated profiling.

The service integrates natively with Cloud Storage, BigQuery, Cloud SQL, AlloyDB, Dataproc, Security Command Center, and streaming data pipelines via Cloud Dataflow. Security and compliance teams configure inspection and de-identification templates through the Google Cloud Console, Terraform, or REST APIs, automating data discovery across multi-petabyte datasets without moving data outside native cloud regions. Common use cases include discovering sensitive customer records in enterprise data lakes, de-identifying healthcare datasets for analytical research, masking PII in application logs, and maintaining regulatory compliance across global data repositories.

By automating sensitive data classification and transforming sensitive records into de-identified tokens, Sensitive Data Protection enables organizations to safely leverage cloud analytics and artificial intelligence. Enterprise privacy teams obtain automated risk assessments, comprehensive data inventories, and adherence to stringent privacy regulations including GDPR, HIPAA, CCPA/CPRA, and PCI-DSS.