Can we encrypt data in Fabric Lakehouse

[Anonymous]

How can we encrypt any column in Microsoft fabric Lakehouse using purview.

[Anonymous]

Hi @Anonymous ,

Thanks for the reply from bharatmoghe .

Is my follow-up just to ask if the problem has been solved?

If so, can you accept the correct answer as a solution or share your solution to help other members find it faster?

Thank you very much for your cooperation!

Best Regards,
Yang
Community Support Team

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

[bharatmoghe]

To encrypt a column in Microsoft Fabric Lakehouse using Purview, follow these steps:

1. Identify and Classify Sensitive Data: Use Purview to scan the Lakehouse, classify sensitive columns, and apply sensitivity labels like PII or Confidential.

2. Define Encryption Policies: Leverage Purview to guide encryption decisions and use Azure Key Vault to manage encryption keys securely.

3. Encrypt Columns: During data ingestion or transformation, apply encryption using tools like PySpark or Synapse. For example, hash sensitive data with SHA2 or similar methods.

4. Govern Access: Set access policies in Purview to ensure only authorized users can view or decrypt the encrypted data. Use Purview insights for compliance monitoring.

5. Manage Keys Securely: Store and rotate encryption keys in Azure Key Vault, integrating them into your pipeline workflows.

6. Validate and Audit: Test access controls and use Purview's reporting to ensure encryption aligns with compliance requirements.