Concepts

• Actions

  An action is something that occurs after a Sensitive Data Protection job completes successfully.

• Data profiles for BigQuery data

  The data profiler lets you protect data across your organization by identifying the resources where sensitive and high-risk data reside.

• Metrics reference

  Learn about the metrics gathered in data profiles.

• Data risk and sensitivity levels

  Learn about the data risk and sensitivity levels that Sensitive Data Protection assigns to data profiles.

• High-sensitivity infoType detectors

  View a list of built-in infoType detectors for highly sensitive data.

• Classification, redaction, and de-identification

  Sensitive Data Protection can redact and de-identify sensitive information in your text strings, images, and structured content.

• Date shifting

  Date shifting techniques randomly shift a set of dates to obscure the actual month and day but preserve the sequence and duration.

• Generalization and bucketing

  Generalization and bucketing take a highly distinguishing value and transforms it into a more general or less distinguishing value.

• Pseudonymization

  Sensitive Data Protection provides pseudonymization capabilities.

• Text classification and redaction

  Sensitive Data Protection can inspect for and redact sensitive content that exists within text strings.

• Image inspection and redaction

  Sensitive Data Protection can inspect for and redact sensitive content that exists within images.

• De-identification of sensitive data in storage

  Sensitive Data Protection can de-identify sensitive data from content stored in Cloud Storage.

• Transformation reference

  Consult this table of de-identification transformations for use with Sensitive Data Protection.

• Hybrid jobs and job triggers

  Hybrid jobs enable you to stream data from virtually any source, inspect it, and then save the results of the inspection scan as part of a hybrid job resource.

• InfoTypes and infoType detectors

  Learn about the different types of sensitive data that Sensitive Data Protection searches for.

• Job triggers

  A job trigger is an event that automates the creation of Sensitive Data Protection jobs to scan Google Cloud storage repositories.

• Match likelihood

  Sensitive Data Protection measures how likely it is that a text string is a piece of sensitive information.

• Method types

  Sensitive Data Protection includes different types of methods that you can use to inspect or transform your data.

• Quote

  A quote is a copy of the content that matches an infoType detector.

• Risk analysis

  Risk analysis is the process of analyzing sensitive data to find properties that might increase the risk of subjects being identified.

• Specifying processing locations

  Control where your potentially sensitive data is processed by specifying a region in which to perform your Sensitive Data Protection operations.

• Supported file types

  Types of files that may be inspected or transformed.

• Templates

  You can use templates to create and persist configuration information to use with Sensitive Data Protection.