Discover and Classify to Understand your Data

For an effective and efficient data security, organizations must define the scope of data to protect. However, it is not easy to understand all the target documents since the volume, location, filename extension, number of copies or security sensitiveness of target files are continuously changing.

To properly understand the target files to enforce data security, organizations must discover and all unstructured data residing in endpoint devices and repositories, and classify and protect the files according to its own data security strategies.

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Fasoo eData Manager is an enterprise classification and security policy management tool that is complementary to Fasoo Enterprise DRM as well as valuable by itself. It scans files throughout the enterprise to find content that is confidential or of high value. It can scan files located within folders and logical drives on PCs – that is, it can scan files on file servers, cloud storage servers, repositories, and anything else that can be mounted as a logical drive or shared folder. The files that Fasoo eData Manager scans are those that match templates which specify criteria for files to be scanned.

The files that Fasoo eData Manager scans are those that match templates which specify criteria for files to be scanned, including:


  • Storage devices, folders, or individual files

  • Filename extensions -- MS Word, Excel, PDF, and more

  • Pattern matching within files names or content

  • Fasoo Enterprise DRM document classes

  • Users and user groups



Fasoo eData Manager displays statistics on file characteristics that it gathers from scans, including:


  • Files that are unprotected, protected by Fasoo Enterprise DRM, or protected by Fasoo eData Manager encryption.
  • Files whose names or contents contain matches to regular expressions or keywords, such as PII.
  • File extensions (types) of interest, such as Microsoft Excel spreadsheets or PDFs.
  • Files that have been distributed throughout the organization.
  • Day-to-day variations in these statistics.