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.
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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.
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The IRI Workbench GUI, built on Eclipse™, provides several ways to create data-driven jobs … jobs which are ultimately expressed in self-documenting plain-text scripts and metadata files.
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The Multi Table Protection Job wizard in IRI FieldShield can mask personally identifiable information (PII) in database columns that are part of a foreign key relationship, and thus preserve referential integrity between the tables.
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There are times when it is necessary to test with or share data that has elements of personally identifiable information (PII). To comply with data privacy laws and prevent a data breach, you may need to provide data that reflects, and sometimes imparts, critical information, but still protects the PII.
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This article shows how you can use IRI Voracity to rapidly integrate and mask sensitive healthcare data in the HL7 file standard we introduced here.
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In this series of articles, we will describe the semi-structured HL7 file format used in many healthcare industry data storage and processing settings, and show how you can rapidly transform and mask large volumes of HL7 XML messages without writing code.
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Learn how to set up IRI Chakra Max and get the most protection out of your DB firewall with this instructional video. Additional videos on the configuration and use of Chakra Max for database activity monitoring, audit, and protection are available from IRI on request.
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The Internet of Things (IoT) continues to grow at an unbelievable rate, and creates tremendous benefits and opportunities for society. With it grows the demand for products and services that control, manage, and protect the massive amounts of data streaming from all those network-connected devices.
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In the last couple of years since this article about the use of IRI CoSort as a parallel data manipulation alternative to Hadoop, IRI released the Voracity platform to process big data in either paradigm.
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Many of the same data manipulation, masking, and test data generation jobs you can run in IRI Voracity® with the default SortCL program can now also run seamlessly in Hadoop™.
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