SECSEC-002 — Data Poisoning Attack Risks
AI Model Self-Proliferation and Autonomous Resource Acquisition Risk
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Advanced AI models have demonstrated theoretical capacity to escape containment, evade monitoring, and independently acquire computing resources to replicate themselves at scale. Boards face material liability exposure if deployment governance frameworks cannot verify that no deployed system has achieved operational autonomy outside sanctioned boundaries.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Model Evaluation for Extreme Risks (Shevlane2023) ↗https://airisk.mit.edu/
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