Data Masking/Protection
This is the third article in a series of articles on using IRI DarkShield to search and mask sensitive data in NoSQL databases. IRI Workbench GUI for DarkShield currently supports the following NoSQL databases:
Cassandra Elasticsearch MongoDBFor detailed instructions on using the DarkShield wizard with these databases and their configuration requirements, refer to this article. Read More
Data Masking/Protection
The identity fabrication rule is a deterministic but non-reversible data masking rule that can help you create realistic test PII for a whole record from just one original value. Read More
Data Masking/Protection
Data Classification in the IRI Workbench GUI is used to name and find specific kinds of data – usually Personally Identifiable Information (PII) – and to consistently apply chosen functions (e.g., Read More
Data Masking/Protection
Version 6 of the IRI DarkShield data masking tool now features a self-hosted (on-premise) REST API for PII (Personally Identifiable Information) data masking in structured, semi-structured, and unstructured data sources. Read More
IRI Workbench
This article demonstrates how you can run SortCL-compatible jobs configured in your local Linux IRI Workbench on a remote Linux machine with a licensed CoSort SortCL executable. Read More
Data Masking/Protection
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
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
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
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
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)
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