Cloud DLP provides access to a powerful sensitive data inspection, classification, and de-identification platform.
Cloud DLP includes:
- Over 150 built-in information type (or "infoType") detectors.
- The ability to define custom infoType detectors using dictionaries, regular expressions, and contextual elements.
- De-identification techniques including redaction, masking, format-preserving encryption, date-shifting, and more.
- The ability to detect sensitive data within streams of data, structured text, files in storage repositories such as Cloud Storage and BigQuery, and even within images.
- Analysis of structured data to help understand its risk of being re-identified, including computation of metrics like k-anonymity, l-diversity, and more.
The ability to automatically
profile BigQuery data across an organization,
folder, and project to identify tables where high-risk and sensitive data reside.
Guides
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Quickstart: Using a JSON request
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Quickstart: Inspect sensitive text by using the command line
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Quickstart: Schedule a Cloud DLP inspection scan
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De-identifying sensitive data
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Redacting sensitive data from images
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Inspecting storage and databases for sensitive data
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Inspecting text for sensitive data
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Creating Cloud DLP inspection templates
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Creating and scheduling Cloud DLP inspection jobs
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