Take out PII in text
Do it like a pro – take out PII in text
People frequently need to take out PII in text when processing forms. Unfortunately, few applications offer the tools you need to complete this task. To do something like this typically requires switching between multiple software applications, which take time and effort. Luckily, there is a platform that is applicable for almost any job: DocHub.
DocHub is a perfectly-built PDF editor with a full set of valuable features in one place. Editing, signing, and sharing forms is easy with our online solution, which you can use from any online device.
Your simple guideline on how to take out PII in text online:
- Go to the DocHub website and create an account to access all our features.
- Add your document. Click New Document to upload your text from your device or the cloud.
- Modify your form. Use the robust tools from the top toolbar to update its content.
- Save changes. Click Download/Export to save your updated paperwork on your device or to the cloud.
- Send your forms. Select how you want to share it: as an email attachment, a Sign Request, or a shareable link.
By following these five easy steps, you'll have your revised text quickly. The user-friendly interface makes the process quick and effective - stopping jumping between windows. Start using DocHub today!
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How to take out PII in text
Hi - my name is Luke Cartey and Iamp;#39;m a member of the field engineering team here at Semmle. This video is about writing a QL query to find sensitive or personally identifiable information, so called PII, that gets written to log files and application runtime. Today, weamp;#39;ll be looking at a open source e-commerce platform called Shopizer. Itamp;#39; s written in Java and weamp;#39;ll be trying to see whether we can find any of any PII vulnerabilities in Shopizer. Now in order to do that weamp;#39;re going to need to find a way to identify personal identifiable information in the source code. Unfortunately, Shopizer as with many applications doesnamp;#39;t have any sort of semantic markers in the code that tell you what is PII. So what going to do is weamp;#39;re going to start off by writing a heuristic query that selects all fields in the program whose name matches either email percentage credit card percentage or percentage phone percentage. This percentage here is a
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