SECSEC-001 — Model Security Vulnerabilities
Deepfake Technology Enables Large-Scale Deceptive Content Creation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems now generate synthetic text, images, audio, and video indistinguishable from authentic content by human observers. Boards face material reputational, legal, and market-integrity risks as verification frameworks struggle to keep pace with generative capabilities.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A framework for ethical Ai at the United Nations (Hogenhout2021) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.