Find & Mask File PII in the DarkShield GUI
IRI DarkShield includes fit-for-purpose facilities in the graphical IRI Workbench IDE that build jobs to search (classify) and mask (remediate) PII and other sensitive data in “dark data” sources. Read More
IRI DarkShield includes fit-for-purpose facilities in the graphical IRI Workbench IDE that build jobs to search (classify) and mask (remediate) PII and other sensitive data in “dark data” sources. Read More
Editor’s Note: This article addresses the migration of data class information between older and newer versions of the IRI Workbench graphical IDE for Voracity data management platform software and its component products. Read More
Abstract: HIPAA, GDPR, FERPA, and other data privacy laws require that personally identifiable information (PII) and related data considered sensitive be protected from disclosure or discovery. Read More
MariaDB and MySQL are relational databases that follow the same paradigm when it comes to setting up connections with SortCL-driven Voracity component jobs designed in IRI Workbench. Read More
Editor’s Note: This article updates IRI’s original series on managing metadata assets in Git, and covers project export and import, particularly for use in enterprise data anonymization and test data management scenarios. Read More
Abstract: This article demonstrates the use of the Chrome Remote Desktop (RDP) extension from Google to run IRI Workbench and its SortCL-powered mapping, masking, and munging jobs remotely from a browser. Read More
In conjunction with a newly created wizard used to generate Pseudonym Hash Replacement Rules, based on the same concept discussed in a previous article, a Pseudonym Hash Set File Creation Wizard is now also available in IRI Workbench. Read More
Pseudonymization is a data masking method involving the replacement of one or more original source values in a column in a table, file, or in free-floating text with another, usually consistent “synthetic” value. Read More
It always bears repeating that being able to serve up high-quality data is really important. This is partly because the consequences of poor data quality can be severe – misleading analytics, stymied processes, greater storage costs (due to duplicated data), and so on – but also because historically many organizations have not treated data quality as the priority it should be. Read More
As discussed in our primer article, set files are used to furnish data for a variety of IRI Voracity-compatible applications, like CoSort, FieldShield, DarkShield, NextForm, and RowGen. Read More
Abstract: This is the final in a series of 4 articles pertaining to IRI Ripcurrent, an IRI-developed command-line Java application that utilizes the Debezium embedded engine and the streaming feature of the IRI (CoSort) SortCL program to react in real-time to database (DB) change events. Read More