Data Masking/Protection
When it comes to protecting your data, there are two processes that could be considered absolutely fundamental: finding out which of your data is sensitive and where it can be located, and then actually protecting that data. Read More
Data Masking/Protection
In the previous article in this series, we discussed the importance of improving and maintaining the quality of your data. Along the same lines, it is also very important to make sure your data is well-governed. Read More
Data Masking/Protection
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
Data Masking/Protection
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
Data Masking/Protection
Abstract: The previous article in this series of 4 demonstrated real-time data replication with 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. Read More
Data Masking/Protection
Abstract: Previously the DarkShield API for Files could perform black-box redaction of primary account numbers (PANs, also known as CCNs) on credit cards only within defined areas in the image . Read More
Test Data
In this article we will discuss how HL7 and X12 messages are structured, and demonstrate how to use the IRI RowGen test data generation software package to generate realistic messages in those (primarily healthcare-related) EDI file formats. Read More
Data Masking/Protection
IRI DarkShield has always had the ability to search through and mask Personally Identifiable Information (PII) and other sensitive data in unstructured sources like PDF documents and image files. Read More
Data Masking/Protection
Named entity recognition (NER) is a type of machine learning (ML) used to detect named entities within the grammatical context of unstructured text (documents). NER is needed to find things like people names and street addresses, since those do not conform to patterns, nor likely have a match to values in a defined list (lookup set). Read More
Data Masking/Protection
This Jenkins entry is the fourth in a series of articles on the use of IRI test data management software – that masks, synthesizes, or subsets data – to feed safe, referentially correct test data for DevOps to CI/CD environments. Read More