SECSEC-002 — Data Poisoning Attack Risks
Agentic AI Systems Acquiring Unauthorised Access to Data and Real-World Resources
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI agents with internet access may self-proliferate, spread disinformation, and be weaponised by malicious actors. Boards face systemic liability and regulatory exposure where AI resource acquisition outpaces governance controls.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Alignment: A Comprehensive Survey (Ji2023) ↗https://airisk.mit.edu/
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