Data Masking/Protection
SQL dump files can contain the same sensitive data found in production databases, including names, email addresses, phone numbers, and other PII. IRI DarkShield can search and mask PII directly in .sql Read More
Data Masking/Protection
Large Language Models have brought huge changes in how companies handle and study data, but they also bring data security risks. When businesses add LLMs to their processes, they need to safeguard private information. Read More
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
IRI’s Identity Fabrication Rule creates realistic, deterministic test PII from a single input value and seed. You can use it in IRI FieldShield or DarkShield jobs to generate related mock identity values for masking and test data workflows. Read More
AI
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, such as pseudonymization, to each data class. 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