An Intellyx Brain Candy Brief
It’s typically expensive and difficult to set up test environments that duplicate production system configurations, especially for applications with large data sets.
Not to mention how hard it is to protect against the risk of a breach that exposes sensitive data such as personally identifiable information (PII) or violates a privacy regulation such as GDPR.
Data privacy concerns are growing as a result of the widespread adoption of generative AI solutions based on large language models (LLMs).
DataVantage masks and subsets data for VSAM, IMS, and DB2 on the mainframe, and for structured data sources in distributed environments (including cloud) to facilitate production-like testing, implement security policies, and conform to data regulations.
The subsetting solution reduces testing costs by copying only the data required for a given set of tests.
The data masking solution produces realistic synthetic data to enable production-like testing while also supporting analytics, reporting, and AI training.
This helps organizations protect sensitive data, conform to industry regulations, and implement data security requirements while still using the data for business applications.
DataVantage works with on-prem, in the cloud, or hybrid data sources with a single installation and a single subsystem pricing model.
Copyright © Intellyx BV. Intellyx is an industry analysis and advisory firm focused on enterprise digital transformation. Covering every angle of enterprise IT from mainframes to artificial intelligence, our broad focus across technologies allows business executives and IT professionals to connect the dots among disruptive trends. None of the vendors mentioned in this article is an Intellyx customer. No AI was used to produce this article. To be considered for a Brain Candy article, email us at pr@intellyx.com.
