SECSEC-001 — Model Security Vulnerabilities
LLMs Manipulated via Persona and Social Engineering Attacks
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models can be subverted through psychological manipulation, including persona impersonation and social engineering tactics crafted by humans or other AI systems. Organisations deploying LLMs face material risk of safety controls being bypassed, exposing them to regulatory liability and reputational harm.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024) ↗https://airisk.mit.edu/
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