Protect Sensitive Information in Files through Field-Level Filtering and Data Redaction

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Field-Level Filtering/Redaction

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Field Protection

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Remove Sensitive Data from Your Files

Challenges:

Some sensitive data are not needed for future processing steps, or are not allowed to appear in target files or reports in any form. When that happens, you need to prevent private fields within your data sources from appearing in your output results.

Most tools available for processing files or reports are either cumbersome or expensive, and do offer the ability to combine field-level redaction from flat files, much less combine that ability with other field-level protections like encryption, de-identification, or pseudonymous data masks.

Solutions:

If you are processing files, you can select which input fields will go to output reports and hand-off files on a need-to-know basis.

With either IRI's FieldShield package or CoSort SortCL tool, you can selectively omit records from your input or output files based on conditional evaluation logic, i.e., filtering. Or, you can simply not specify certain input fields in the output target, i.e., redaction.

These are simply two field protection techniques among many available to FieldShield and SortCL users. Additional functions like encryption, de-identificaiton, and obfuscation are also possible on other fields at the same time. SortCL users have the additional option to perform standard data transformations and produce output reports in the same job script and I/O pass as the field protections.

IRI, The CoSort Company