SECSEC-001 — Model Security Vulnerabilities
Foundation Model Security Flaws Cascade to Downstream AI Systems
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Security vulnerabilities embedded in foundation models propagate automatically to every fine-tuned or re-engineered derivative, multiplying exposure across an organisation's entire AI portfolio. Boards must audit third-party model provenance and establish supplier liability frameworks before deploying foundation-model-based systems.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Safety Governance Framework (TC2602024) ↗https://airisk.mit.edu/
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