SECSEC-001 — Model Security Vulnerabilities
AI Models Manipulated Into Accepting Misinformation via Persuasive Dialogue
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI models can be progressively manipulated through sustained conversational pressure to abandon factually correct positions and endorse misinformation. Organisations deploying such systems face reputational, regulatory, and liability exposure wherever model outputs inform decisions or public communications.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗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.