Blot out PII in xml

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Aug 6th, 2022
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Not all formats, such as xml, are created to be effortlessly edited. Even though many tools will let us tweak all file formats, no one has yet created an actual all-size-fits-all solution.

DocHub offers a easy and efficient solution for editing, managing, and storing paperwork in the most popular formats. You don't have to be a tech-knowledgeable user to blot out PII in xml or make other tweaks. DocHub is robust enough to make the process easy for everyone.

Our feature allows you to alter and edit paperwork, send data back and forth, generate dynamic documents for data collection, encrypt and safeguard paperwork, and set up eSignature workflows. Additionally, you can also generate templates from paperwork you use on a regular basis.

You’ll locate plenty of other features inside DocHub, including integrations that let you link your xml file to different productivity programs.

How to blot out PII in xml

  1. Go to DocHub’s main page and click Log In.
  2. Add your file to the editor using one of the many import features.
  3. Take a look at various tools to make the most out of our editor. In the menu bar, pick the ability to blot out PII in xml.
  4. Check the text in your form for mistakes and typos and ensure it’s neat-looking.
  5. After completing the editing process, hit DONE.
  6. Select what you need to do with the form next: rearrange it, share it as a link, fax it, etc.

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How to blot out PII in xml

4.7 out of 5
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in this video iamp;#39;ll be demonstrating how to mask exynol data using dataval before we start configuring masks letamp;#39;s take a quick look at the xml data so we understand what weamp;#39;re trying to mask this is a simple xml document that represents a fictitious staffing roster you can see that the first node shows who the manager will be for the shift and it happens to be john smith next we see a note from monday and that shows heamp;#39;ll be working the morning shift and heamp;#39;ll be working the afternoon shift notice that all of the names are stored in a standard name node structure that contains the given or first name family or surname last name and a full name field that may contain a title or other names or however the full name is to be displayed for that person for example john smith has his full name showing as mr john smith whereas for susan williams the title or prefix has been omitted and instead her middle name anne has been included so her full name show

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Got questions?

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Three of the most common techniques used to obfuscate data are encryption, ization, and data masking. Encryption, ization, and data masking work in different ways. Encryption and ization are reversible in that the original values can be derived from the obfuscated data.
Identifying the Personally Identifiable Information (PII) of a Field.
The fact that data masking is not reversible makes it more secure, and less costly, than ization. Data masking software maintains referential context and relational integrity across systems and databases, which is critical in software testing and data analysis.
You can mask the data in the XML format payloads using the tag in the log policy XML file. This table explains the field names for masking the data in an XML payload. Specifies the XPath for the field. The value of this field is masked.
To activate/deactivate the masking of PII data, select Utilities Data Unmask PII Data / Mask PII Data.
Data masking is the most common data obfuscation method. The fact that data masking is not reversible makes this type of data obfuscation very secure and less expensive than encryption.
Masking consists of somehow changing the actual PII in the database, either by rearranging data or replacing it entirely with synthetic data. The trick to data masking is: rather than simply inventing new data, the shape of masked data should remain as similar as possible to its unmasked state.
Anonymization can be accomplished by replacing the original data with artificial data, rearranging data set attributes in ways that differ from their original form and using machine-generated synthetic data in place of the real thing.

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