SECSEC-001 — Model Security Vulnerabilities
AI Model Weight Leakage and System Security Vulnerabilities
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems face integrity, availability, and confidentiality breaches that can corrupt decision-making and expose proprietary model weights to adversaries. Theft of model weights amplifies downstream risks across all AI deployments, creating material liability that boards must address through pre-deployment disclosure standards.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023) ↗https://airisk.mit.edu/
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