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[stephencredmond]

In Qlik, we have, basically, two levels of data protection for Excel export - Export or No Export. There is also the option for companies to impose limits on table sizes, which prevents too many rows being exported, but that is not a very sharp approach.

Microsoft Office supports a number of options for data protection: https://docs.microsoft.com/en-us/microsoft-365/solutions/information-protection-deploy-protect-infor...

One of these is to apply Sensitivity Labels - e.g. "Internal Use Only" - to documents. Labels can be associated with additional actions, such as automatic encryption of documents with the organization's key, so that only internal people can open the document.

My proposal, to support the Data Loss Prevention efforts of an organization, is this:

1. Allow the Qlik Administrator to specify a default Sensitivity Label to all documents (probably the company's equivalent of "Internal Use Only")
2. Allow each Stream owner to define a separate default Sensitivity Label. (e.g. "Highly Confidential")
3. Allow each Application owner to define a separate Sensitivity Label for their app (e.g. "Public")
4. Allow the organization to define a default tab that will be exported with every single document to contain whatever wording they want to support their Data Loss Prevention efforts.

Should be simple! 🙂

Stephen Redmond

[AndrewMcIlwrick]

Interesting idea Stephen.

Could you leverage app tags for this purpose ?

Tags are visible in the monitoring app JSON object which any app script can reference, or could be obtained via API's in an extension. Then you have free reign to use them for all sorts of data privacy or GDPR purposes.

I know custom properties can also be used in stream or app security rules to inhibit exports.

Time to meet in a pub with a whiteboard and ideate more !

[Meghann_MacDonald]

Hi, this idea has been in "Not Planned" status for over a year and is still not in consideration. If you'd like to open a new request, please visit the Browse and Suggest page and click "Suggest features" and open a new request.

Meghann