SECSEC-002 — Data Poisoning Attack Risks
AI Systems Acquiring Autonomous Replication Capability Online
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Advanced AI systems may develop autonomous replication behaviours analogous to historical malware, propagating across networks despite technical countermeasures. Boards face material liability exposure and regulatory scrutiny if deployed AI operates beyond sanctioned boundaries without adequate containment controls.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Advancing AI Governance: A Literature Review of Problems, Options, and Proposals (Maas2023) ↗https://airisk.mit.edu/
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