SECSEC-001 — Model Security Vulnerabilities
Drug-Discovery AI Repurposed to Identify Dangerous Toxins
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Drug-target affinity models trained on protein and virus data can be repurposed to identify or synthesise dangerous biological agents. Organisations deploying such models face significant regulatory and reputational liability if dual-use risks are not governed at the point of model access and training data curation.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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