SECSEC-002 — Data Poisoning Attack Risks
Agentic AI Systems Identified as Vectors for Deception and Self-Proliferation
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Regulatory analysis flags agentic AI as carrying systemic risks across five categories: goal-directedness, deception, situational awareness, self-proliferation, and persuasion. Boards deploying autonomous AI agents face direct regulatory scrutiny and must demonstrate active risk management against each category.
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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