SECSEC-001 — Model Security Vulnerabilities
Generative AI Enables Disinformation Cycles That Corrupt Future AI Training
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI allows bad actors to flood digital platforms with cheap, scalable disinformation, which then poisons the training data of subsequent AI systems. Boards face compounding reputational and regulatory exposure as corrupted models propagate false outputs at scale.
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/
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.