DATDAT-002 — Data Privacy and Protection Failures
LLM Training Data Regurgitation and Sensitive Information Leakage
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models risk reproducing verbatim training data and leaking sensitive information disclosed during live inference sessions. Organisations without evaluation frameworks for these failure modes face undetected data breaches and regulatory exposure.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023) ↗https://airisk.mit.edu/
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