Cloud Data Loss Prevention (Cloud DLP) is now a part of Sensitive Data Protection. The API name remains the same: Cloud Data Loss Prevention API (DLP API). For information about the services that make up Sensitive Data Protection, see Sensitive Data Protection overview.
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Text classification
Given the following text input:
Please update my records with the following information:
Email address: foo@example.com
National Provider Identifier: 1245319599
Driver's license: AC333991
The output is a list of findings, organized into the following categories:
Offset (Where in the string the potential InfoType was found)
Example output is shown in the table below.
InfoType
Likelihood
Offset
US_HEALTHCARE_NPI
VERY_LIKELY
122
EMAIL_ADDRESS
LIKELY
72
US_DRIVERS_LICENSE_NUMBER
LIKELY
155
CANADA_BC_PHN
VERY_UNLIKELY
122
UK_TAXPAYER_REFERENCE
VERY_UNLIKELY
122
CANADA_PASSPORT
VERY_UNLIKELY
155
Automatic text redaction
Automatic redaction produces an output with sensitive data matches removed
instead of giving you a list of findings.
Example automation redaction input:
Please update my records with the following information:
Email address: foo@example.com
National Provider Identifier: 1245319599
Driver's license: AC333991
Example output using a placeholder of "***":
Please update my records with the following information:
Email address: ***
National Provider Identifier: ***
Driver's license: ***
For more information about using Sensitive Data Protection to de-identify
sensitive data in text content—which includes "masking" sensitive
data, replacing sensitive data with a "token" string, and encrypting and
replacing sensitive data using a randomly generated or pre-determined
key—see
De-identifying sensitive data in text content.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Text classification and redaction\n\nText classification\n-------------------\n\nGiven the following text input: \n\n```\nPlease update my records with the following information:\nEmail address: foo@example.com\n\nNational Provider Identifier: 1245319599\n\nDriver's license: AC333991\n```\n\nThe output is a list of findings, organized into the following categories:\n\n- [`InfoType`](/sensitive-data-protection/docs/infotypes-reference \"InfoTypes Reference\")\n- [`Likelihood`](/sensitive-data-protection/docs/likelihood \"Likelihood Concept Page\")\n- `Offset` (Where in the string the potential `InfoType` was found)\n\nExample output is shown in the table below.\n\nAutomatic text redaction\n------------------------\n\nAutomatic redaction produces an output with sensitive data matches removed\ninstead of giving you a list of findings.\n\nExample automation redaction input: \n\n```\nPlease update my records with the following information:\nEmail address: foo@example.com\n\nNational Provider Identifier: 1245319599\n\nDriver's license: AC333991\n```\n\nExample output using a placeholder of \"\\*\\*\\*\": \n\n```\nPlease update my records with the following information:\nEmail address: ***\n\nNational Provider Identifier: ***\n\nDriver's license: ***\n```\n\nResources\n---------\n\n- For more information about using Sensitive Data Protection to redact text, see [Redacting Sensitive Data From Text Content](/sensitive-data-protection/docs/redacting-sensitive-data).\n- For more information about using Sensitive Data Protection to de-identify sensitive data in text content---which includes \"masking\" sensitive data, replacing sensitive data with a \"token\" string, and encrypting and replacing sensitive data using a randomly generated or pre-determined key---see [De-identifying sensitive data in text content](/sensitive-data-protection/docs/deidentify-sensitive-data)."]]
