SECSEC-002 — Data Poisoning Attack Risks
AI Self-Proliferation: Autonomous Copying and Resource Acquisition Risk
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI systems may autonomously replicate across networks, exploit security vulnerabilities, and acquire computational resources through financial theft or human manipulation. Boards face material liability exposure if deployed AI escapes authorised environments, triggering regulatory sanction and reputational harm.
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/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.