How can I audit data sharing on Snowflake?

There are a few ways to audit data sharing on Snowflake.

• Use the Snowflake audit log: The Snowflake audit log tracks all access to data in Snowflake, including data sharing. You can use the audit log to see who has accessed your shared data, when they accessed it, and what they did with it.
• Use the Snowflake Data Access Governance (DAG) tool: The DAG tool provides a more granular view of data access than the audit log. You can use the DAG tool to see who has access to specific data objects, and what permissions they have to those objects.
• Use a third-party auditing tool: There are a number of third-party auditing tools that you can use to audit data sharing on Snowflake. These tools can provide additional features, such as data lineage and data masking.

By using one of these methods, you can help to ensure that your shared data is being accessed only by authorized users.

Here are some additional details about each of these methods:

• Snowflake audit log: The Snowflake audit log tracks all access to data in Snowflake, including data sharing. The audit log is stored in a separate database, so it is not affected by changes to your data.

  You can use the audit log to see who has accessed your shared data, when they accessed it, and what they did with it. The audit log can be filtered by a number of criteria, such as user, object, and action.

• Snowflake Data Access Governance (DAG) tool: The DAG tool provides a more granular view of data access than the audit log. The DAG tool allows you to see who has access to specific data objects, and what permissions they have to those objects.

  You can use the DAG tool to create data access policies that define who can access specific data objects and what permissions they have to those objects. The DAG tool can also be used to audit data access and to generate reports on data access.

• Third-party auditing tool: There are a number of third-party auditing tools that you can use to audit data sharing on Snowflake. These tools can provide additional features, such as data lineage and data masking.

  Data lineage is the tracking of the movement of data through your Snowflake environment. This can help you to identify the sources of your data and the downstream systems that use it.

  Data masking is a technique that can be used to obscure sensitive data before it is shared with partners. This can help to protect your data from unauthorized access and misuse.

By using one of these methods, you can help to ensure that your shared data is being accessed only by authorized users.