SECSEC-001 — Model Security Vulnerabilities
Deepfake composites evade consent and privacy protections
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI produces harmful composite images from public data, bypassing traditional privacy and consent frameworks entirely. Boards face regulatory exposure as existing legal redress mechanisms fail victims, signalling urgent policy and liability gaps.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Generating Harms - Generative AI's impact and paths forwards (EPIC2023) ↗https://airisk.mit.edu/
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