Privacy in Snowflake¶
Snowflake provides industry-leading features that maintain the privacy of individuals and sensitive data.
- Differential privacy
Protect the identity and information of entities against targeted privacy attacks. Data providers assign privacy policies to tables and views to protect their data with differential privacy.
- Aggregation policies
Require queries to aggregate data in order to return results.
- Projection policies
Prevent queries from using a SELECT statement to project values from a column.
- Synthetic data
Programmatically create realistic datasets that closely mirror your original data. This allows you to safely represent sensitive, confidential, or restricted information across various workloads, such as testing and validation.