
Proxy-Based Dynamic Data Masking in FieldShield
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.
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.
In the previous article, we discussed how IRI DarkShield finds sensitive information using Data Class Search Matchers and masks it consistently using Data Rules.
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.
IRI Workbench now contains a section of data cleansing, enrichment, and validation rules called Data Quality Rules for use in IRI CoSort data transformation and IRI Voracity ETL, reporting and data wrangling jobs.
This article is the fourth in our 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on visualizing search logs from the DarkShield unstructured data masking product (also a Voracity component) in Datadog for security analytics.
This article is third in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on visualizing Voracity-wrangled in Datadog.
This article is the second in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on preparing data in Voracity, and getting Datadog ready to receive it.
This article is first in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on the value of Datadog and Voracity together.
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.
Whether your SQL Server database is on-premise or in a cloud platform like Azure, its data is accessible for movement and manipulation in IRI Workbench-supported products like CoSort, FieldShield, DarkShield, NextForm and RowGen, or the IRI Voracity platform which includes them all.
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.