SECSEC-001 — Model Security Vulnerabilities
Proprietary Training Data and Model Architecture Extracted via Generative AI
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI systems can be exploited to illicitly extract proprietary training data or replicate model architecture and parameters. Organisations face material IP loss, regulatory exposure, and competitive harm where AI assets are inadequately protected.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024) ↗https://airisk.mit.edu/
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