How does Databricks ensure the security of data?

Databricks employs encryption and access controls as essential measures to ensure the security of data. Encryption helps protect sensitive data both at rest and in transit, meaning that data is encoded in such a way that only authorized users with the correct decryption keys can access it. This is critical for maintaining confidentiality and integrity, especially when handling personally identifiable information or other sensitive data types.

Access controls further bolster security by allowing organizations to define who can view or manipulate specific datasets. This involves setting permissions for different user roles and monitoring user activity, which helps prevent unauthorized access and data breaches. By leveraging these two strategies, Databricks creates a robust security framework that aligns with best practices for data protection.

The other options do not provide adequate security measures. Relying solely on public access poses significant risks, as it could expose data to unauthorized users. Storing data on local servers can limit accessibility and scalability, and it does not inherently secure data against threats. Lastly, while passwords are a basic security measure, they are insufficient on their own without complementary strategies like encryption and access controls to provide comprehensive data security.