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Based on GEODI can mask or anonymize files or databases based on discovery resultsdiscovery results, files and databases can be Masked or Anonymized.

Masking means blacking out obscuring sensitive data , and anonymization means replacing data with fake but real-looking ones. Both functions allow you to share content with less concern. Masking hides sensitive information, and you can identify whether a document is masked. But anonymization creates a completely real-looking version of the content. Anonymization is more suitable for testing or data scientists.Each finding is replaced with a real-looking value. Currently, the following entities are anonymizedwithin a content or replacing it with a fixed alternative text. Anonymization, on the other hand, means replacing a value with another value that appears to be real.

With Masking, sensitive data is completely removed. Anonymization breaks the link with the real data but keeps the data looking real. You can easily share your sensitive information or databases with test teams, data analysis teams, or researchers by anonymizing them.

In Anonymization, each value is replaced with a compatible alternative. A name is replaced with another name, a phone number with another phone number, and so on. The ready-to-use values are listed below.

  • Name → Name

  • Money → Money

  • Dictionaries(Placename, part number or other) → random value from the same dictionary

  • Creditcard → Creditcard

  • IBAN → IBAN

  • Tel → Tel

  • e-Mail → e-Mail

  • Date → Date

...

Info

Profiles

Profiles defines which findings are to be anonimyzed. Ypu may anonimyze all, or PII or Financial data. The functions ask you to choose from existing profiles.

Info

Anonimyze chociesAnonymization in content can be applied in several ways:

  1. Persistent File Anonymization:Selected files are persistently anonymized. You can choose to keep the original values or replace all findings, PII, or just financial values.

  2. Dynamic Anonimization: Dynamic option allows you to set visibility of sensitive i,nformation by permissons. Same content (a PF, word, ..) looks different to different users based on permissions.

  3. Database Anonimization: It is possible to mask/animiyze a database for software development teams. This capability should not be confused with products that perform dynamic database masking In file-based data, the identified discovery layers are modified either permanently or as a copy. An anonymous copy of the original file as created, or the original file is altered.

  4. Dynamic Anonymization: The selected discovery layers dynamically change for selected groups/users. For Example, one user can see the complete document, while another user sees it with hidden monetary fields or personal data.

  5. Databases Anonymization: Creates a masked or anonymized copy of a given database. This allows software development teams to work with a masked version of database.

Persistent File Anonimization

GEODI creates a copy of the content undergoing masking to perform the process. The operation functions in the "Mask and Download" manner.

Note

You may also use batch anonimization options on the actions menu. Batch process allows you to convert thousands of files at the same can also perform this operation in bulk using the “Batch Mask/Anonymize” action from the Actions menu. This action creates a script that should be executed by the system administrator. If there are only a few files or individual files, you can use the masking/ anonymization feature within the viewer to produce modified copies of the files. time.

Info

  • Masking operates in the following formats:

    • Word (*.doc, *.docx, *.rtf)

    • Excel (*.xlsm, *.csv, *.xlsx, *.xls)

    • PDF (*.pdf)

    • Powerpoint (*.ppt, *.pptx, *.ppsx)

    • LibreOffice (*.odp, *.odt, *.ods)

  • In the viewers of supported formats for the masking process, access is available under the (info) button.

  • You can mask all discovered data or a selected subset by creating as many definitions (Masking Metadata) as needed.

    • By default, the following definitions are provided. Changes and additions can be made using the method specified on this page.

    • For example, with masking, a name like "Hasan Hüseyin" can be masked as "[NAME]" or "****". Different masking formats can be defined based on different identifiers using definitions. This means that names, IBANs, and currency expressions can all be masked differently.

...

Dynamic masking allows authorization at the user and discovery layer levels.

License

A MASKING and DISCOVERY DISCIVERY license is required for anonymization.

The number of users is equal to the number of GEODI users.