Data Masking/Protection
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
Data Masking/Protection
Abstract: This article covers the use of the IRI DarkShield API for automatically locating and de-identifying PII or other sensitive data in the three major cloud provider NoSQL databases — Google BigTable, MS CosmosDB in Azure, and Amazon DynamoDB. Read More
Data Masking/Protection
Abstract: With hundreds of thousands of medical imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world; billions of DICOM images are currently in use for clinical care. Read More
Business Intelligence (BI)
Abstract: Now that XLS and XLSX files are now also directly supported in IRI FieldShield by virtue of their new /PROCESS (format) support in the CoSort 10.5 SortCL program, IRI Voracity data management platform and standalone data masking users have three different ways to “shield” sensitive data in their spreadsheets. Read More
Data Masking/Protection
Editor’s Note: The content in this article has been deprecated with the release of IRI DarkShield Version 5 in 2024. To see how you can search and mask data in RDBs with the DarkShield GUI now, see this article. Read More
Data Masking/Protection
IRI DarkShield is a data masking tool for classifying, searching, and de-identifying Personally Identifiable Information (PII) and other sensitive data in structured, semi-structured and unstructured sources. Read More
Big Data
This article is first in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on the value of Datadog and Voracity together. Read More
Big Data
Editor’s Note: A newer version of this IRI DarkShield wizard (as of 2024) is described in this article.
Elasticsearch is a Java-based search engine that has an HTTP interface and stores its data in schema-free JSON documents. Read More
Data Masking/Protection
Previous articles in the IRI blog detailed the static data masking of new database data using /INCLUDE logic or /QUERY syntax in scheduled IRI FieldShield job scripts that required changes in column values to detect updates. Read More
Data Masking/Protection
Editors Note: The content of this article has been superseded as of DarkShield Version 5. Please refer to this article instead for the current methodology using data classification and location matchers for XML and JSON files. Read More