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SECSEC-001 — Model Security Vulnerabilities

Biological and chemical attacks — case from International AI Safety Report 2025

4/5Sector: DefenceGeography: GlobalStage: OperateIngested: —

Executive Summary

Growing evidence shows general- purpose AI advances beneficial to science while also lowering some barriers to chemical and biological weapons development for both novices and experts. New language models can generate step- by- step technical instructions for creating pathogens and toxins that surpass plans written by experts with a PhD and surface information that experts struggle to find online, though their practical utility for novices remains uncertain.

Domain

Security & Privacy

Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.

Source

MIT AI Risk Repository — International AI Safety Report 2025 (Bengio2025) ↗

https://airisk.mit.edu/

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