SECSEC-001 — Model Security Vulnerabilities
Adversarial Input Vulnerabilities in General-Purpose AI Systems
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI models can be systematically manipulated through adversarial inputs, undermining the reliability of automated decisions. Boards must treat adversarial robustness as a material risk requiring explicit controls within AI governance frameworks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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