Rub out PII in NB

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Aug 6th, 2022
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01. Upload a document from your computer or cloud storage.
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Do it like a pro – rub out PII in NB

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People often need to rub out PII in NB when managing documents. Unfortunately, few applications provide the options you need to accomplish this task. To do something like this usually requires switching between several software packages, which take time and effort. Fortunately, there is a solution that works for almost any job: DocHub.

DocHub is a professionally-built PDF editor with a full set of useful features in one place. Editing, signing, and sharing forms is easy with our online tool, which you can access from any internet-connected device.

Your quick guideline on how to rub out PII in NB online:

  1. Go to the DocHub web page and register an account to access all our features.
  2. Add your document. Click New Document to upload your NB from your device or the cloud.
  3. Edit your form. Utilize the powerful tools from the top toolbar to update its content.
  4. Save your updates. Click Download/Export to save your altered paperwork on your device or to the cloud.
  5. Send your documents. Choose how you want to share it: as an email attachment, a Sign Request, or a shareable link.

By following these five basic steps, you'll have your revised NB rapidly. The intuitive interface makes the process fast and effective - stopping jumping between windows. Try DocHub today!

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How to rub out PII in NB

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welcome to part one of the demo series on controlling capture and retrieval of personally identifiable information using Bravo Enterprise my name is Dave Hinkle and Iamp;#39;m a solutions consultant at Open Text virtually all industries have personally identifying information within their business documents PII is stored in both structured and unstructured documents privacy laws are changing at a rapid pace and many regulations govern the disclosure of PII failure to adequately control disclosure of PII can lead to fines and other penalties for non-compliance Iamp;#39;m going to show you how PII can be easily removed from a stored form using Brava Enterprise imagine Iamp;#39;m a loan specialist at a mortgage lender my customers Mike and Julia are in the process of buying a home and theyamp;#39;ve requested that I send a copy of their loan application to Pete at their insurance company so they can get a quote for their homeowners insurance I have access to the loan application form

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While there are numerous methods for anonymizing PII, a quick and efficient method is to use unique identifiers to replace some of the PII, such as names and personal health numbers (PHNs). Creating Unique Identifiers: Identify which PII need to be anonymized. In this example, we will use First and Last Name.
Masking Personal Identifiable Information (PII) data. Masking Personal Identifiable Information (PII) data - IBM IBM docs configurepricequote t IBM docs configurepricequote t
Characters are reorganized in random order, replacing the original content. For example, an ID number such as 76498 in a production database, could be replaced by 84967 in a test database. This method is very simple to implement, but can only be applied to some types of data, and is less secure. What is Data Masking? | Techniques Best Practices - Imperva Imperva learn data-security data Imperva learn data-security data
The random replacement data masking policy masks source data in different formats for different runs of the source data. The hash data masking policy generates an integer hash value that is based on the value of the source column that you specified. Data masking policies - IBM IBM docs SSZJPZ11.7.0 topics IBM docs SSZJPZ11.7.0 topics
For the purposes of this article, we define personally identifiable information as any real details of human lives or status, which could be used to identify or impersonate that person. Common examples of PII are dates of birth, IP addresses, passport numbers, or full names. What is PII Masking and How Can You Use It? - RudderStack RudderStack learn data-security RudderStack learn data-security
Traditional data scrubbing techniques focus on removing or obfuscating PII from datasets. Some common methods include: Data Deletion: Just simply deleting PII data from a dataset. Data Masking: Replacing PII with random characters or symbols to maintain the original data format.
PII masking is the process of hiding any personally identifiable information in order to protect individual identities and comply with data privacy laws.
Answer: Make a photocopy of the document you dont want to redact the original. On the photocopy, use a black marker to conceal the PII that you want to redact. Photocopy the redacted document. Save the 1st photocopy (with the black ink redaction) with the original, to show the redaction effort.

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