SECSEC-001 — Model Security Vulnerabilities
Prompt Priming Causes Generative Models to Leak Personal Training Data
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI models can be manipulated via crafted prompts to reproduce personal data absorbed during training, creating material data protection exposure. Organisations deploying such models face regulatory liability and reputational harm if personal information is disclosed without consent.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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