The Data Class File Masking Job wizard in IRI Workbench protects large numbers of structured file sources that have been previously classified. While it was possible to use the data classes in many of the existing wizards, if the data class library included a lot of classified fields, selection of the classified sources was cumbersome.
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The Directory Data Class Search wizard in IRI Workbench (WB) matches data in structured files within one or more directories to configured data classes. The search process compares the matchers in the data classes with the data in those files to determine the best match, if any.
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In Q3’19, IRI created a new, free app for Splunk Enterprise and Enterprise Security users that seamlessly indexes data from any Voracity platform data wrangling or protection job.
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In predictive analytics, machine learning involves training a computer to evaluate data sets and create prediction models from trends it finds in the data. Machine learning builds off traditional statistics and creates larger and more advanced models faster than a person ever could.
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This article demonstrates the use of IRI DarkShield to identify and remediate (mask) personally identifiable information (PII) and other sensitive data in MongoDB and Cassandra databases.
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Before you can make use of the data you have and trust its value for, analytic, testing, and other production jobs, you have to know enough about that data.
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Article 17 of the General Data Protection Regulation (GDPR) stipulates the Right to Erasure, often referred to as the Right to be Forgotten. While the regulation specifies some requirements as to what controllers must do with data requested to be “erased”, it does not expressly define what the term erasure means.
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Connecting to PostgreSQL-compatible databases for data movement and manipulation in IRI Workbench-supported products like Voracity, CoSort, FieldShield, NextForm and RowGen follows the same paradigm as other relational databases.
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Usually static data masking is performed on production data at rest so it is stored safely, or when replicated to non-production environments for testing or development purposes.
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Production or test data targets, as well as the operational log data, created by SortCL-compatible data manipulation or generation jobs in the IRI Voracity data management platform and its included products (IRI CoSort, NextForm, RowGen, FieldShield and DarkShield) are all machine-readable.
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