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Configuring Data MaskingIntellicus Enterprise Reporting and BI PlatformIntellicus Technologies info intellicus.com www.intellicus.comCopyright 2010 Intellects Technologies This document and its content
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How to fill out configuring data masking

How to fill out configuring data masking:
01
Identify the sensitive data: Before starting, it's crucial to determine what kind of data needs to be masked. This could include personally identifiable information (PII), financial data, or any other sensitive information that should be protected.
02
Plan the masking strategy: Once you understand which data needs to be masked, develop a strategy for how to mask it effectively. This may involve using algorithms or techniques such as substitution, shuffling, or encryption.
03
Choose the appropriate masking techniques: Depending on the type of data and your organization's needs, select the appropriate masking techniques. This could include masking techniques like format preserving encryption, hashing, or tokenization.
04
Implement the chosen masking techniques: Start implementing the selected masking techniques on the identified sensitive data. In this step, you may need to consult with your IT team or employ specialized software to carry out the masking process.
05
Test and validate the masked data: After masking the data, thoroughly test and validate the process to ensure that the sensitive information is properly masked while still maintaining its integrity and usability. This may involve performing data quality checks and different validation tests.
06
Document and track the masking process: It's important to document the masking process, including the techniques used, in order to maintain accountability and ensure consistency. Additionally, keep track of any adjustments or updates made to the masking process to ensure its effectiveness over time.
Who needs configuring data masking:
01
Organizations dealing with sensitive data: Any organization that handles sensitive data, such as personal or financial information, can benefit from configuring data masking. This can include industries like healthcare, finance, e-commerce, or any other sector that deals with customer or client data.
02
Compliance-driven industries: Companies operating in industries with strict regulatory requirements, such as healthcare (HIPAA) or finance (PCI DSS), often have a legal obligation to protect sensitive data. Configuring data masking can help them comply with these regulations and avoid penalties.
03
Companies focused on data security: Businesses that prioritize data security and want to minimize the risk of data breaches or unauthorized access can benefit from configuring data masking. Masking sensitive data reduces the chances of data leakage and helps maintain confidentiality.
In summary, configuring data masking involves several steps including identifying sensitive data, planning the masking strategy, implementing appropriate techniques, testing and validating the masked data, and documenting the process. The need for configuring data masking arises for organizations dealing with sensitive data, compliance-driven industries, and companies prioritizing data security.
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What is configuring data masking?
Configuring data masking is the process of obscuring or encrypting sensitive data to protect it from unauthorized access.
Who is required to file configuring data masking?
Organizations that handle sensitive data are required to file configuring data masking.
How to fill out configuring data masking?
To fill out configuring data masking, organizations need to identify the sensitive data to be masked, determine the masking techniques to be used, and implement the masking process.
What is the purpose of configuring data masking?
The purpose of configuring data masking is to protect sensitive data from unauthorized access or exposure.
What information must be reported on configuring data masking?
Organizations must report the types of sensitive data being masked, the masking techniques used, and any challenges faced during the masking process.
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