Native semantic categories of sensitive data classification¶

The following sections list semantic categories that are provided by Snowflake. These native semantic categories identify common types of sensitive attributes such as names and addresses. If you need to classify attributes that are not supported natively, see Create custom categories for sensitive data.

Each section corresponds to a privacy category. For example, the Identifier categories section lists the native semantic categories that are assigned to data that belongs to the IDENTIFIER privacy category.

Important

Multiple semantic categories can be considered “Sensitive Personal Data”, “Special Categories of Data”, or similar terms under various laws and regulations, and might require additional protections or controls.

About semantic subcategories¶

If Snowflake identifies that the type of sensitive data is specific to a locale, it assigns the data a semantic subcategory. For example, suppose Snowflake identifies a social security number (SSN), which is an identifier in the United States (US). The native semantic category is NATIONAL_IDENTIFIER and the semantic subcategory is US_SSN.

Semantic subcategories are prefixed with the two-letter country code of a locale, as defined by ISO 3166-1 alpha-2.

After classification, you can find the semantic subcategory in the Details field of the JSON object returned by the classification process. For more information about viewing this response object, see Use SQL to view results.

Identifier categories¶

Semantic category

Locale

Semantic subcategory

BANK_ACCOUNT

n/a

IBAN

Canada (CA)

CA_BANK_ACCOUNT

New Zealand (NZ)

NZ_BANK_ACCOUNT

United States (US)

US_BANK_ACCOUNT

DRIVERS_LICENSE

Australia (AU)

AU_DRIVERS_LICENSE

Canada (CA)

CA_DRIVERS_LICENSE

India (IN)

IN_DRIVERS_LICENSE

New Zealand (NZ)

NZ_DRIVERS_LICENSE

United States (US)

US_DRIVERS_LICENSE

EMAIL

n/a

IMEI

n/a

IP_ADDRESS

n/a

MEDICARE_NUMBER

Australia (AU)

AU_MEDICARE_NUMBER

New Zealand (NZ)

NZ_NHI_NUMBER

NAME

n/a

NATIONAL_IDENTIFIER

Canada (CA)

CA_SOCIAL_INSURANCE_NUMBER

India (IN)

  • IN_PAN

  • IN_AADHAAR

  • IN_VOTER_ID

New Zealand (NZ)

NZ_STUDENT_NUMBER

Singapore (SG)

SG_NATIONAL_REGISTRATION_IDENTITY_CARD

United Kingdom (UK)

UK_NATIONAL_INSURANCE_NUMBER

United States (US)

US_SSN

ORGANIZATION_IDENTIFIER

Australia (AU)

  • AU_BUSINESS_NUMBER

  • AU_COMPANY_NUMBER

New Zealand (NZ)

NZ_BUSINESS_NUMBER

Singapore (SG)

SG_UNIQUE_ENTITY_NUMBER

PASSPORT

Australia (AU)

AU_PASSPORT

Canada (CA)

CA_PASSPORT

New Zealand (NZ)

NZ_PASSPORT

Singapore (SG)

SG_PASSPORT

United States (US)

US_PASSPORT

PAYMENT_CARD

n/a

PHONE_NUMBER

Australia (AU)

AU_PHONE_NUMBER

Canada (CA)

CA_PHONE_NUMBER

Japan (JP)

JP_PHONE_NUMBER

United Kingdom (UK)

UK_PHONE_NUMBER

United States (US)

US_PHONE_NUMBER

STREET_ADDRESS

Canada (CA)

CA_STREET_ADDRESS

United States (US)

US_STREET_ADDRESS

TAX_IDENTIFIER

Australia (AU)

AU_TAX_NUMBER

India (IN)

IN_GSTIN

New Zealand (NZ)

NZ_INLAND_REVENUE_NUMBER

United States (US)

US_TAX_IDENTIFIER [1]

URL

n/a

VIN

n/a

Quasi-identifier categories¶

Semantic category

Locale

Semantic subcategory

ADMINISTRATIVE_AREA_1

Canada (CA)

CA_PROVINCE_OR_TERRITORY

New Zealand (NZ)

NZ_REGION

United States (US)

US_STATE_OR_TERRITORY

ADMINISTRATIVE_AREA_2

United States (US)

US_COUNTY

AGE

n/a

CITY

Canada (CA)

CA_CITY

New Zealand (NZ)

NZ_CITY

United States (US)

US_CITY

COUNTRY

n/a

DATE_OF_BIRTH

n/a

ETHNICITY

n/a

GENDER

n/a

LATITUDE

n/a

LAT_LONG

n/a

LONGITUDE

n/a

MARITAL_STATUS

n/a

OCCUPATION

n/a

POSTAL_CODE

Australia (AU)

AU_POSTAL_CODE

Canada (CA)

CA_POSTAL_CODE

Japan (JP)

JP_POSTAL_CODE

New Zealand (NZ)

NZ_POSTAL_CODE

Switzerland (CH)

CH_POSTAL_CODE

United Kingdom (UK)

UK_POSTAL_CODE [2]

United States (US)

US_POSTAL_CODE

TAX_IDENTIFIER

United States (US)

EMPLOYER_IDENTIFICATION_NUMBER [3]

YEAR_OF_BIRTH

n/a

Sensitive categories¶

Semantic category

Locale

Semantic subcategory

SALARY

n/a