IRI - Total Data Management Blog

Data Masking in Healthcare

by Alyssa Ardhya

Healthcare providers, medical researchers, and other “business associates” collect and process sensitive data on patients, which HIPAA law classifies as protected health information (PHI). Because PHI is stored and shared in databases, clinical notes, imaging studies, treatment forms, and EDI (claim) formats – both on-premise and in the cloud – safeguarding it by finding and de-identifying it can be a complex, time-consuming challenge. Read More

Data Masking/Protection

Choosing a Data Masking Tool

by Donna Davis

A data masking tool can be an effective, if not essential, way to protect sensitive information stored in files and databases. As the numbers of data breaches, lawsuits, and data privacy laws continue to grow, companies must find ways to anonymize production and test data without sacrificing its utility for analytics, research, marketing, or development. Read More

Data Masking/Protection

Data Masking in the BFSI Sector

by Alyssa Ardhya

The Banking, Financial Services, and Insurance (BFSI) industry handles huge amounts of personally identifiable information (PII) and sensitive financial data each day. This data ranges from NID, account information and credit scores to financial transactions and loan documents. Read More

Data Masking/Protection

Data Security in the Business World: Navigating Challenges

by Donna Davis

Threats of data breaches and cyberattacks have intensified over the years. In 2025 alone, the total damage cost is already forecast to reach up to $10.5 trillion. Read More

Data Masking/Protection

Finding and Redacting Signatures in DarkShield

by Adam Lewis

The purpose of IRI data masking tools is to discover and obfuscate Personally Identifiable Information (PII) in various data sources. Depending on the type of data source, we recommend different products in the IRI Data Protector Suite, typically IRI FieldShield or IRI DarkShield. Read More

Business Intelligence (BI)

A Data Mesh Approach to Consider

by David Friedland

Abstract: Adopting a data mesh approach represents a contemporary solution to the challenges faced by traditional centralized data management systems. This article summarizes what data mesh architecture is about, and how you can leverage its key benefits using the IRI Voracity platform. Read More

Data Masking/Protection

Masking PHI in FHIR EDI Files with DarkShield

by Tylor Quinley

Introduction

The IRI DarkShield data masking tool includes fit-for-purpose wizards in its IRI Workbench GUI to search (classify) and mask (remediate) sensitive ”dark data” (as defined by Gartner) in many semi, unstructured, and structured file, NoSQL, and relational database (RDB) sources. Read More

Data Transformation

IRI Data Integration

by Daniel Howard, Bloor Research

As I’ve discussed previously, IRI provides a robust solution for data migration. For those needing a recap, IRI is a longstanding data management vendor that has been almost perennially involved in data modernization efforts (such as legacy “lift and shift” work). Read More

Data Masking/Protection

Connecting DarkShield to SharePoint

by Adam Lewis

Abstract: This article describes how IRI DarkShield users can access files in SharePoint Online for searching and masking PII. It documents the setup steps you will take to use Microsoft Entra ID (formerly Azure Active Directory) for authorization, and configure DarkShield jobs in the IRI Workbench graphical IDE, built on Eclipse. Read More

Data Masking/Protection

Running DarkShield from the Command Line

by Donna Davis

The IRI DarkShield Command-Line Interface (CLI) offers a powerful way to harness the data discovery and masking capabilities of DarkShield Version 5 outside the graphical IRI Workbench environment. Read More

Data Transformation

Joining Flat-File & RDB Data: Textual ETL (Part 2)

by Chaitali Mitra

Introduction

This article demonstrates the Voracity user’s ability to join values in a flat-file file to those in an RDB (Relational Database) table to provide meaningful information. Read More

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