Role-based Access to LLM Training Data in Snowflake

Question

Pulumi · Accepted Answer

To set up role-based access to LLM training data in Snowflake using Pulumi, we will go through a multi-step process involving the creation of a Snowflake role, user, and assigning the appropriate permissions to that role for the data in question.

The first step in this process is to define the function that will contain your Snowflake user and role. This includes creating a role dedicated to LLM training data access and a user that will assume that role. Secondly, you will need to grant the role access to the specific database, schema, or table where your LLM training data resides.

Below is a Pulumi program that accomplishes this task:

```python
import pulumi
import pulumi_snowflake as snowflake

# Create a Snowflake role for accessing LLM training data.
llm_data_role = snowflake.Role("llm-data-role",
    # The name of the role which users will assume to access LLM training data.
    name="LLM_DATA_ACCESS_ROLE")

# Create a Snowflake user which will assume the role created above.
llm_user = snowflake.User("llm-user",
    # The name of the user. This is the login name.
    name="llm_data_user",
    # The default role to use when the user logs in.
    default_role=llm_data_role.name,
    # Additional settings can be configured here, such as loginName, displayName,
    # password (preferably using Pulumi's secret management), and other properties.

# Set 'must_change_password' to 'True' to enforce password change on first login.
    must_change_password=True)

# Grant the LLM data role access to specific databases, schemas, or tables.
# This is an example of granting usage on a specific schema.
schema_usage_grant = snowflake.SchemaGrant("schema-usage-grant",
    # The name of the database.
    database_name="your_database",
    # The name of the schema.
    schema_name="your_schema",
    # Specify the role to which you are assigning this grant.
    roles=[llm_data_role.name],
    # Privileges to grant.
    privilege="USAGE",  # Grants USAGE privilege which is required for accessing objects in the schema.
    with_grant_option=False)  # Specifies whether to grant the ability to grant this privilege to others.

# Optionally, you might want to grant select access on specific tables.
table_select_grant = snowflake.TableGrant("table-select-grant",
    # The name of the database.
    database_name="your_database",
    # The name of the schema.
    schema_name="your_schema",
    # The name of the table. You can use '*' if you want the role to access all tables in the schema.
    table_name="your_training_data_table",
    # Specify the role to which you are assigning this grant.
    roles=[llm_data_role.name],
    # Specifies the SELECT privilege which allows for reading data.
    privilege="SELECT",
    with_grant_option=False)  # Specifies whether to grant the ability to grant this privilege to others.

# Export the Snowflake role and user names.
pulumi.export("snowflake_role_name", llm_data_role.name)
pulumi.export("snowflake_user_name", llm_user.name)
```

In this program:

- We create a Snowflake role named `LLM_DATA_ACCESS_ROLE` using the `snowflake.Role` resource. This role will be used to define the set of permissions for accessing the LLM training data.
- We create a Snowflake user named `llm_data_user` using the `snowflake.User` resource. This user is linked to the role `LLM_DATA_ACCESS_ROLE` by setting the `default_role` property.
- Then, we assign the `USAGE` privilege to the role for a specific schema. This allows the role to access objects within the schema. In Snowflake, you must grant `USAGE` on a schema to a role before it can access any objects within that schema.
- Additionally, we grant `SELECT` privilege to the role on a specific table within the schema, allowing the role to read data from the table.
- The `with_grant_option` is set to `False`, indicating that the role cannot grant these privileges to other roles or users.

After running this Pulumi program and applying the changes, your Snowflake environment will have a user and role configured with access specific to your LLM training data.

Remember that you will need to provide the correct `database_name`, `schema_name`, and `table_name` for your particular scenario. Also, you must have administrator access to Snowflake to grant these privileges.