SECSEC-001 — Model Security Vulnerabilities
LLM Development Toolchain Vulnerabilities Create Security Exposure
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
Complex software toolchains used to build large language models introduce attack surfaces that can compromise the integrity of the resulting systems. Boards face material risk from supply-chain vulnerabilities that may undermine the trustworthiness of AI deployed in regulated environments.
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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