Protecting Sensitive Information with Secure UDFs - Precisely Data Integrity Suite

Data Integrity Suite APIs

Product
Data_Integrity
Spatial_Analytics
Data_Enrichment
geo_addressing_1
Services
Spatial Analytics
Data Enrichment
Geo Addressing
ft:title
Data Integrity Suite APIs
ft:locale
en-US
PublicationType
pt_developer
copyrightfirst
2023
copyrightlast
2026

To help ensure that sensitive information is concealed from users who should not have access to it, you can use the SECURE keyword when creating an external user-defined function (UDF).

For a UDF or stored procedure, you can prevent users from seeing definition specifics. When you specify that the UDF or procedure is secure, these details are visible only to authorized users – in other words, to users who are granted a role that owns the function.

The below example illustrates use of SECURE keyword:
create or replace SECURE external function geotax_address(address object)
returns variant
IMMUTABLE
api_integration = API_INTEGRATION
HEADERS = ('headers-api-key'= '<<DIS API KEY>>', 'headers-api-secret'='<<DIS API SECRET>>')
MAX_BATCH_ROWS = 10
as 'https://9a3cydoxrc.execute-api.us-east-1.amazonaws.com/v1/geo-tax-address';
create or replace SECURE external function geotax_location(address object)
returns variant
IMMUTABLE
api_integration = API_INTEGRATION
HEADERS = ('headers-api-key'= '<<DIS API KEY>>', 'headers-api-secret'='<<DIS API SECRET>>')
MAX_BATCH_ROWS = 10
as 'https://9a3cydoxrc.execute-api.us-east-1.amazonaws.com/v1/geo-tax-location;

For more details on protecting sensitive information with secure UDF see Protecting Sensitive Information with Secure UDFs by snowflake.