Abstract: Data collected, processed, and saved across industries is constantly generated and updated. Database (DB) tables can be refreshed with new data from applications or events in intervals as frequent as a fraction of a second. Read More
Abstract: The process of transferring data from one database (DB) to another can be complicated when those DBs do not use the same data types. A DB Data Type Mapping wizard is now implemented in IRI Workbench to help solve this problem for SortCL-driven data management jobs with different sources and targets. Read More
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
Public and private cloud file systems are becoming increasingly popular places for businesses and government agencies to store their data. Several major competitors have arisen in the cloud storage provider space, with Amazon, Microsoft Azure, and Google Cloud Platform at the top. Read More
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
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
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
This is the third addition to our 4-article DevOps pipeline series. Here are the links to related DevOps articles for Jenkins, GitLab and AWS CodePipeline. Read More
Editor’s Note: This article covers the discovery and de-identification of PII and other sensitive data in semi-structured or unstructured files stored in AWS S3 buckets, GCP folders, and Azure Blob Storage, via the IRI DarkShield API for files. Read More
Finding and masking personally identifiable information (PII) in Snowflake® data warehouses works the same way in IRI FieldShield® or Voracity® installations as it does for other relational database sources. Read More
IRI DarkShield data masking software focuses on discovering and masking sensitive data in a wide variety of sources, including unstructured and semi-structured files, documents, and databases. Read More