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
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
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
Calling DarkShield from FieldShield: Reaching the DarkShield API with a Field-Level Transformation Function
OverviewIt is now possible to use an IRI DarkShield function from within an IRI FieldShield job to find and mask one or more instances of PII floating inside the text of specified columns. Read More
Data Masking/Protection
The New Data Class Map File Masking Job wizard in the IRI Workbench GUI for FieldShield creates IRI FieldShield job (.scl) scripts which, when run, will mask one or more files in one or more LAN directories. Read More
Data Masking/Protection
The New Data Class Map DB Masking Job wizard in the IRI Workbench GUI for FieldShield creates IRI FieldShield job (.scl) scripts which, when run, will mask one or more tables in one or more schemas. Read More
Data Transformation
IRI’s data management tools share a familiar and self-documenting metadata language called SortCL. All these tools — including CoSort, FieldShield, NextForm, and RowGen — require data definition file (DDF) layouts with /FIELD specifications for each data source so the data is mapped to the metadata. Read More
Data Masking/Protection
SortCL, the IRI language of structured data definition and manipulation, has long had the ability to draw replacement values from external set files containing two or more columns of values. Read More
Data Masking/Protection
In the previous article, new support for SortCL-compatible jobs in the IRI Voracity data processing ecosystem for ASN.1-encoded data files was introduced. This article takes a more in-depth look through sample jobs demonstrating various use cases, ASN.1 encoding rules, schema files, and the Protocol Data Units (PDUs) involved with data defined in ASN.1 schemas. Read More