Securing FieldShield Encryption Keys with Alliance Key Manager
In a previous article, we detailed a method for securing the encryption keys (passphrases) used in IRI FieldShield data masking jobs through the Azure Key Vault.
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Securing FieldShield Passphrases in Azure Key Vault
One of the primary uses of IRI FieldShield is to encrypt and decrypt sensitive data in database or flat-file columns. FieldShield relies on a passphrase to derive a symmetrical encryption key used at encryption and decryption time.
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Voracity Data Munging and Masking App for Splunk
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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Speeding KNIME with Voracity
How to Support the Right to be Forgotten in…
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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Browsing the Operational Data Store (ODS)
What Is an ODS?
An operational data store (or “ODS”) is another paradigm for integrating enterprise data that is relatively simpler than a data warehouse (DW).
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JSON and the Truth it Captures
“Have you stopped speeding?” You could probably object to a leading question like this in court, but what happens when an important question with only a yes or no answer is solicited on a mandatory form, and the response becomes part of an actionable database record?
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Anonymizing Indirect Identifiers to Lower Re-ID Risk
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code.
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Production Analytic Platform #4/4: Unifying the Worlds of Information…
This is part 4 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Processing Real World Data [Part 3]
In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world.
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Production Analytic Platform #3/4: Processing Real World Data
This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data.
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Production Analytic Platform #1/4: Process on Par with Information
This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake.
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