Data Masking/Protection
Incremental data replication, masking, integration (ETL), and other data refresh operations are common in frequently updating database environments. These jobs require the detection of additions and updates to tables.
Data Masking/Protection
IRI CellShield® is an add-in for Microsoft Excel® that protects the sensitive information in one or more spreadsheets, allowing you to comply with data privacy laws and nullify data breaches.
Data Masking/Protection
This article describes a dynamic data masking (DDM) method available to IRI FieldShield premium sites that uses a proxy-based system for intercepting application queries to JDBC-connected databases.
Data Masking/Protection
In the previous article, we discussed how IRI DarkShield finds sensitive information using Data Class Search Matchers and masks it consistently using Data Rules.
Data Masking/Protection
IRI DarkShield is a data masking tool for finding and de-identifying Personally Identifiable Information (PII) and other sensitive data in semi-structured and unstructured files and databases.
Big Data
Elasticsearch is a Java-based search engine that has an HTTP interface and stores its data in schema-free JSON documents. Unfortunately, a spate of costly and painful breaches of Personally Identifiable Information (PII) continue to plague online Elasticsearch databases:
Were all the PII or other sensitive information in these DBs masked however, successful hacks and development copies may not be problematic.
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.
Data Masking/Protection
Once they have made their database connections, IRI FieldShield and IRI DarkShield users both have a wide range of options for classifying, finding, and de-identifying sensitive data across one or more schemas.
Data Masking/Protection
Personally Identifiable Information (PII) like names, Social Security numbers, home addresses, etc. are stored in multiple sources and silos, including semi-structured files in JSON and XML format.
Data Masking/Protection
This is the first of a two-part blog series detailing data class validation in IRI Workbench. This article provides an overview of our provided validation scripts and how to use them in a data discovery or classification job.
