Data Masking/Protection
The “New Multi Table Protection Job …” wizard in IRI Workbench described in this article is one of the ways that IRI FieldShield product (or IRI Voracity platform) users can automatically mask personally identifiable information (PII) in database columns that are part of a foreign key relationship, and thus preserve referential integrity between the tables. Read More
Data Masking/Protection
There are times when it is necessary to test with or share data that has elements of personally identifiable information (PII). To comply with data privacy laws and prevent a data breach, you may need to provide data that reflects, and sometimes imparts, critical information, but still protects the PII. Read More
Data Masking/Protection
Enterprise data continues to change rapidly in form, size, use, and residence. Rarely does it remain in siloed constructs anymore, limited to certain business units or untouched by the outside world. Read More
Data Masking/Protection
Users of PII masking tools like FieldShield, DarkShield, and CellShield EE in the IRI Data Protector Suite or Voracity platform can catalog and search their data — and apply data transformation and protection functions as rules — using built-in data classification infrastructure in their common front-end IDE, IRI Workbench, built on Eclipse™. Read More
Data Quality (DQ)
Customers drive business, and they want to be understood and valued. That starts with getting their (only) name right, and having an accurate view of their transaction history, preferences, and related information. Read More
Big Data
Editors Note: This example demonstrates our earliest, least direct (though still available) method of using IRI FieldShield to protect data found within MongoDB tables. As you will read, the MongoDB Export Utility in this case extracts data and create a CSV file that FieldShield masks externally, prior to loading the newly secured data back into MongoDB. Read More
Business Intelligence (BI)
Introduction: This example demonstrates an older method of using IRI FieldShield to protect sensitive data prior to indexing the data in Splunk. As you will read, FieldShield would process the data outside of Splunk and create a CSV file for Splunk’s ingestion. Read More
Data Masking/Protection
This is an introduction to IRI CellShield. Subsequent blogs will demonstrate the different functions in CellShield: data masking, encryption, and pseudonymization. If you’re interested in finding, classifying, or masking PII in databases or flat files, check out IRI FieldShield. Read More
Data Masking/Protection
This article is second in a 3-part series on using IRI products to expand functionality and improve performance in Pentaho systems. We first demonstrate how to improve sorting performance, and then introduce ways to mask production data, and create test data, in the Pentaho Data Integration (PDI) environment. Read More
Data Masking/Protection
Abstract: Amid the still-growing problem of data breaches, and new v3 requirements of the Payment Card Industry Data Security Standard (PCI DSS) in effect, it has never been more important to protect sensitive data properly. Read More
