SECSEC-001 — Model Security Vulnerabilities
Generative AI Enabling Access to CBRN Weapons Information
3/5Sector: DefenceGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI systems can synthesise or surface actionable chemical, biological, radiological, and nuclear weapons knowledge that was previously difficult to obtain. Boards face regulatory exposure and reputational liability if deployed models are not screened against CBRN information hazards.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST2024) ↗https://airisk.mit.edu/
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