SECSEC-001 — Model Security Vulnerabilities
Hardware Vulnerabilities in LLM Training and Inference Systems
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Weaknesses in hardware used for LLM training and inference expose AI systems to exploitation, performance degradation, and supply chain risk. Boards must ensure infrastructure security is embedded in AI governance frameworks alongside software and model-level controls.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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