SECSEC-002 — Data Poisoning Attack Risks
LLMs Capable of Autonomous Long-Horizon Planning Without Human Oversight
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models can execute complex, multi-step plans across extended timeframes and diverse domains without iterative human correction. Boards must assess whether existing governance frameworks adequately constrain autonomous AI planning in regulated and sensitive operational contexts.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023) ↗https://airisk.mit.edu/
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