Protecto's data privacy intelligence identifies privacy risks by factoring usage, access, sensitivity, and risk associated with your Databricks instance - in just a few clicks.
Gain instant visibility to the type, sensitivity, and amount of PII data in your Databricks lakehouse.
Obtain information on who has access to which sensitive data and remove unnecessary access.
Obtain information on who has access to which sensitive data and remove unnecessary access.
Identify who has access to PII and sensitive in your Databricks lakehouse and how much of that data is overexposed. Monitor and remove unnecessary access as needed.
Keep sensitive PII data functionalbut non-identifiable by replacing it with tokens and safeguard your data from breaches.
Keep sensitive PII data functionalbut non-identifiable by replacing it with tokens and safeguard your data from breaches.
Data tokenization in Databricks Lakehouse refers to the process of replacing sensitive Personally Identifiable Information (PII) with randomly generated tokens. This technique helps protect the actual PII while enabling authorized users to work with tokenized data for analytics and processing.
Absolutely. Tokenized data in Databricks Lakehouse can be used for data analysis, machine learning, and other processing tasks while preserving the privacy and security of the original PII.
We take privacy seriously. While we promise not to sell your personal data, we may send product and company updates periodically. You can opt-out or make changes to our communication updates at any time.
