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W H I T E PA P ER Data Masking with the DevOps Data Platform Industry Background Data masking has never been more relevant. With data breaches continuing to make headlines and the emergence of stringent

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How to fill out how data masking helps

01

Identify the sensitive data that needs to be masked

02

Choose an appropriate masking technique such as substitution, shuffling, or encryption

03

Implement the masking technique to protect the sensitive data

04

Define access controls to ensure only authorized users can view the unmasked data

Who needs how data masking helps?

01

Organizations that handle sensitive data such as personal information, financial data, or medical records

02

Compliance regulations such as GDPR, HIPAA, or PCI DSS mandate the protection of sensitive data through masking

03

Any entity concerned about preventing data breaches and maintaining data privacy

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What is how data masking helps?

Data masking helps in protecting sensitive data by replacing, encrypting or manipulating original data with fictional or random data.

Who is required to file how data masking helps?

Organizations handling sensitive data are required to implement data masking to protect the data from unauthorized access.

How to fill out how data masking helps?

Data masking can be implemented using various techniques such as substitution, shuffling, encryption, and tokenization to ensure that sensitive data remains secure.

What is the purpose of how data masking helps?

The purpose of data masking is to protect sensitive information from unauthorized access or exposure, while still allowing the data to be used for testing, development, or analytics purposes.

What information must be reported on how data masking helps?

The information that must be reported when implementing data masking includes the types of data being masked, the techniques used for masking, and the policies and procedures in place to govern data masking.

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