Data Masking/Protection
To configure both JDBC and ODBC to support the Transport Layer Security (TLS) protocol, there are additional configuration steps that are needed when compared to this previous article. Read More
Data Masking/Protection
First released in 2011, the IRI FieldShield database data masking tool helps you classify, find, and de-identify personally identifiable information (PII) or other sensitive data in structured relational database (RDB) sources. Read More
Data Masking/Protection
The “New Masking Job…” wizard in the IRI Workbench GUI for FieldShield creates a single IRI FieldShield job (.fcl) script for masking data usually for just one source – like a flat file or table – where data classes and masking rules for multi-target consistency are not required. Read More
Data Masking/Protection
The IRI DarkShield data masking product now includes fit-for-purpose wizards in the IRI Workbench IDE 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 Masking/Protection
Abstract: HIPAA, GDPR, FERPA, and other data privacy laws require that personally identifiable information (PII) and related data considered sensitive be protected from disclosure or discovery. Read More
Data Masking/Protection
You might know the old saying, “What gets measured gets managed.” It rings true even in the IT sector. But there’s a catch—how can you manage and measure what you can’t see? Read More
Data Masking/Protection
IRI has discussed startpoint security in further detail with the Outlook Series in a segment about data masking.
This article defines what we’d like to call “startpoint security” mostly by virtue of a comparison to endpoint security. Read More
Big Data
According to Simson L. Garfinkel at the NIST Information Access Division’s Information Technology Laboratory,
De-identification is not a single technique, but a collection of approaches, algorithms, and tools that can be applied to different kinds of data with differing levels of effectiveness. Read More
Business Intelligence (BI)
Introduction: This example demonstrates an older method of using IRI FieldShield to protect sensitive data prior to indexing the data in Splunk. As you will read, FieldShield would process the data outside of Splunk and create a CSV file for Splunk’s ingestion. Read More
Data Masking/Protection
In the course of protecting personally identifiable information (PII) moving into and out of databases, FieldShield and CoSort typically externalize protection of the full table(s) they connect to. Read More