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IBM Software Thought Leadership White Paper Data masking everywhere Design standard data privacy policies for the enterprise without impacting performance May 2013 2 Data masking everywhere Contents

How to fill out data masking everywhere information

How to fill out data masking everywhere information:

1. Start by identifying the sensitive data that needs to be masked. This can include personally identifiable information (PII) such as names, addresses, and social security numbers, as well as financial or healthcare data.
2. Next, evaluate the different data masking techniques available, such as encryption, tokenization, or data substitution. Choose the method that best suits your organization's needs and compliance requirements.
3. Develop a data masking strategy that outlines the specific data elements that need to be masked, the masking technique to be used, and any additional security measures that need to be implemented.
4. Implement the chosen data masking solution across all relevant systems and databases. This may involve working with IT teams or security professionals to ensure a seamless integration.
5. Regularly monitor and audit the effectiveness of the data masking solution to identify any vulnerabilities or areas for improvement. This can help maintain data privacy and compliance with regulations.
6. Train employees on the importance of data masking and how to properly handle sensitive information. This is crucial in ensuring that everyone understands their role in protecting data.
7. Continuously update and adapt your data masking strategy as new threats emerge and technology evolves.

Who needs data masking everywhere information?

1. Organizations that handle sensitive data, especially those in industries such as finance, healthcare, and retail, need data masking everywhere information to protect the privacy of their customers and comply with regulations.
2. Government agencies and institutions that deal with classified or sensitive information also require data masking everywhere information to prevent unauthorized access or data breaches.
3. Individuals or businesses that handle data from multiple sources or share data with third-party vendors can benefit from data masking everywhere information to ensure that data remains secure throughout its lifecycle.

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