DATDAT-002 — Data Privacy and Protection Failures
AI Models Leak Confidential Information from Training and Prompt Data
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models trained or prompted with confidential data may reproduce that information verbatim in generated outputs, constituting a data leakage risk. Organisations face regulatory exposure and reputational harm if proprietary or personal data surfaces through routine model interactions.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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