How can I ensure that I am following the shared responsibility model when using Databricks for data security and privacy?
To ensure that you are following the shared responsibility model when using Databricks for data security and privacy, you should:

1. Understand the division of responsibilities between Databricks, the customer, and the cloud provider. Databricks is responsible for the security of the platform, while the customer is responsible for the security of their data and applications running on the platform.
2. Manage identity and access using least privilege. This means granting users and applications the minimum permissions necessary to perform their tasks.
3. Protect data in transit and at rest. Classify your data into sensitivity levels and use mechanisms such as encryption, tokenization, and access control where appropriate.
4. Secure your network and identify and protect endpoints. Use security appliances or cloud services like firewalls to monitor and protect the network integrity of internal and external endpoints.
5. Meet compliance and data privacy requirements. Be mindful of internal and external requirements that require you to control the data storage locations and processing. Where possible, automate your compliance efforts.
6. Monitor system security. Use automated tools to monitor your application and infrastructure. To scan your infrastructure for vulnerabilities and detect security incidents, use automated scanning in your continuous integration and continuous deployment (CI/CD) pipelines.

By following these best practices, you can ensure that you are following the shared responsibility model and protecting your data and applications on Databricks.