SECSEC-001 — Model Security Vulnerabilities
Cascading Failures Across Interconnected AI Networks
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Interconnected AI systems create systemic vulnerabilities where a single point of failure can propagate rapidly across the broader network. Boards must treat AI infrastructure dependencies as material systemic risk, warranting disclosure obligations and robust contingency governance.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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