Using Static Data Masking & Dynamic Data Unmasking
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. Read More
Getting DarkShield Alerts from Splunk Adaptive Response
The Splunk Adaptive Response Framework (ARF) included with Splunk Enterprise Security (ES) allows actions to be taken in response to data. This is done by creating an alert that triggers when a certain search result condition is received in the Splunk ES Search and Reporting app. Read More
Send Data from IRI Jobs & Logs to Splunk…
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 tools (IRI CoSort, NextForm, RowGen, FieldShield) are all machine-readable. Read More
Filtering Tables in IRI Workbench
IRI Workbench provides a number of features for working across multiple tables in a database. It includes wizards to: profile databases; classify columns; subset, mask and migrate data; generate test data; etc. Read More
Shedding Light on Dark Data with Splunk ES
Splunk Enterprise Security (ES) is a major player in the Security Information and Event Management (SIEM) software market. The cloud-based analytic platform combines the indexing and aggregation capabilities of Splunk Enterprise with a range of fit-for-purpose features attendant to SIEM environments. Read More
Masking & Mapping Data in a Snowflake Database
Finding and masking personally identifiable information (PII) in Snowflake® data warehouses works the same way in IRI FieldShield® or Voracity® installations as it does for other relational database sources. Read More
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? Read More
Anonymizing Indirect Identifiers to Lower Re-ID Risk
Editors Note: This articles covers data anonymization as a form of data masking for privacy protection. In particular, it covers the concepts of quasi-identifiers and re-identification risk and the use of HIPAA data de-identification standards for protecting sensitive data in research through the use of anonymizing techniques like age blurring and demographic attribute blurring in conjunction with re-ID risk scoring. Read More
Blurring Ages and Dates to Anonymize PHI
Random noise data masking, or blurring, is a common requirement for PII anonymization in healthcare data, particularly for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule. Read More
PII Masking in MongoDB (3rd Method)
Note: This article covers the third available IRI customer method for statically masking or encrypting PII in structured MongoDB collections through the IRI FieldShield product or IRI Voracity platform (both powered by IRI CoSort v10 and its support of the native MongoDB driver). Read More
PII Masking in CSV Files
This article demonstrates data masking of a Comma Separated Values (CSV) file using a data manipulation job wizard in the IRI Workbench GUI. In fact, this example shows how PII can be masked from almost any IRI job wizard, though CSV file masking is most often performed from a single or multi-file IRI FieldShield job menu. Read More