Methods of data masking in a data lakehouse

A data lakehouse can contain a lot of sensitive data that needs protection from unauthorized access. This could include Personally Identifiable Information (PII) such as social security numbers, email, or phone numbers, or sensitive information such as credit card or bank account numbers. Not everyone needs to access this sensitive data. A data masking service adds a layer of protection to ensure that sensitive data is only accessed by the most privileged users with the need to access it. Data masking is a way to create an artificial but practical version of data. It protects sensitive data without sacrificing the functionality that it offers. There are several reasons why data masking is vital for an organization:

• Data masking mitigates external and internal threats. For example, data exfiltration, insider threats or account compromise, and insecure interfaces with third-party systems are some threats mitigated by data masking.
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