synthetic data
AssessTechniques
Artificially generated data designed to mimic real data patterns without exposing sensitive records.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 6The New Stack·10/16/2026researchOnly 34% trust synthetic data’s referential integrity
A new Perforce Delphix research report says enterprise interest in synthetic data is high, but adoption is limited by concerns about data quality. Only 38% of leaders believe synthetic data is realistic enough and just 34% believe it preserves referential integrity. The article argues that organizations need higher-quality synthetic data to support development, testing, and broader data access without increasing risk.