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. 
- Join policies
- Require queries to join tables 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. 
