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
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 (e.g., Read More
Data Masking/Protection
The IRI DarkShield data masking tool includes fit-for-purpose wizards in its IRI Workbench GUI 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
The IRI DarkShield data masking tool includes fit-for-purpose wizards in its IRI Workbench GUI 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
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
Once a database exceeds a certain size, it becomes expensive — and risky from a security perspective — to provide full-size copies for development, testing, and training. Read More