You can use templates to create and persist configuration information to use with Cloud Data Loss Prevention (DLP). Templates are useful for decoupling configuration such as what you inspect for and how you de-identify it from the implementation of your requests. Templates provide a robust way to re-use configuration and enable consistency across users and data sets.
The Cloud DLP supports two types of templates:
- De-identification templates: Templates for saving configuration information for de-identification jobs, including both infoType and record (structured dataset) transformations.
- Inspection templates: Templates for persisting configuration information for inspection scan jobs, including what predefined or custom detectors to use. For more information about inspection templates, see Creating Cloud DLP inspection templates.
For conceptual information about templates in Cloud DLP, see Templates.
The remainder of this topic shows you how to create de-identification templates for use with the Cloud DLP.
Create a de-identification template
It’s useful to note that a de-identification template is simply a reusable
de-identification configuration plus some metadata. In API terms, the
DeidentifyTemplate
object is effectively a
DeidentifyConfig
object that includes a few more fields of metadata, such as a display name and
a description. Therefore, to create a new de-identification template, the basic
steps are:
- Start with a
DeidentifyConfigobject. - Call or POST the
createmethod of either theprojects.deidentifyTemplatesororganizations.deidentifyTemplatesresource, including in your request aDeidentifyTemplateobject that contains a display name, a description, and thatDeidentifyConfigobject.
The returned DeidentifyTemplate will be usable immediately. You can
reference it in other calls or jobs by its name. You can list the existing
templates by calling the *.deidentifyTemplates.list method. To view a
specific template, call the *.deidentifyTemplates.get method. Note that the
limit for the number of templates you can create is 1000.
If you've already had some experience de-identifying sensitive data from text,
images, or structured content using Cloud DLP, you've already
created a
DeidentifyConfig
object. One additional step turns it into a
DeidentifyTemplate
object.
REST example
The following JSON is an example of what you could send to the
projects.deidentifyTemplates.create
method. (Try it for yourself in
APIs Explorer.)
This JSON creates a new template with the given display name and description,
and scans for matches on the infoTypes EMAIL_ADDRESS and LAST_NAME. When it
finds content matching those infoTypes, it will mask the first three characters
with an asterisk (*) character:
JSON Input:
POST https://dlp.googleapis.com/v2/projects/[PROJECT_ID]/deidentifyTemplates?key={YOUR_API_KEY}
{
"deidentifyTemplate":{
"displayName":"Email last name mask",
"description":"De-identifies emails and last names with a series of asterisks.",
"deidentifyConfig":{
"infoTypeTransformations":{
"transformations":[
{
"infoTypes":[
{
"name":"LAST_NAME"
}
],
"primitiveTransformation":{
"replaceWithInfoTypeConfig":{
}
}
},
{
"infoTypes":[
{
"name":"EMAIL_ADDRESS"
}
],
"primitiveTransformation":{
"characterMaskConfig":{
"charactersToIgnore":[
{
"charactersToSkip":"@"
}
],
"maskingCharacter":"*"
}
}
}
]
}
}
}
}
JSON Output:
{
"name":"projects/[PROJECT_ID]/deidentifyTemplates/[JOB-ID]",
"displayName":"Email last name mask",
"description":"De-identifies emails and last names with a series of asterisks.",
"createTime":"2018-11-30T07:17:59.536022Z",
"updateTime":"2018-11-30T07:17:59.536022Z",
"deidentifyConfig":{
"infoTypeTransformations":{
"transformations":[
{
"infoTypes":[
{
"name":"LAST_NAME"
}
],
"primitiveTransformation":{
"replaceWithInfoTypeConfig":{
}
}
},
{
"infoTypes":[
{
"name":"EMAIL_ADDRESS"
}
],
"primitiveTransformation":{
"characterMaskConfig":{
"maskingCharacter":"*",
"charactersToIgnore":[
{
"charactersToSkip":"@"
}
]
}
}
}
]
}
}
}
Using de-identification templates
Once you’ve created a new template, you can use its name identifier anywhere
deidentifyTemplateName is accepted, such as:
projects.content.deidentify: De-identifies potentially sensitive data in content using the template as its configuration. Be aware that this method can use either an inspection template or a de-identification template.
Listing de-identification templates
To list all de-identification templates that have been created, use one of the
*.*.list methods:
Code examples
Following is sample code in several languages that demonstrates how to use Cloud DLP to list inspection templates. The process is identical to the one for listing de-identification templates.
Java
Node.js
Python
Go
PHP
C#
Deleting de-identification templates
To delete a specific de-identification template, use one of the *.*.delete
methods:
With each *.*.delete method, you include the resource name of the template to
be deleted.
Code examples
Following is sample code in several languages that demonstrates how to use Cloud DLP to delete an inspection template. The process is identical to the one for listing de-identification templates.
Java
Node.js
Python
Go
PHP
C#
