SECSEC-001 — Model Security Vulnerabilities
AI Computing Infrastructure Exposed to Resource Hijacking and Cross-Boundary Security Threats
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Distributed AI training infrastructure is vulnerable to malicious resource consumption and lateral propagation of security threats across computing boundaries. Boards must treat AI infrastructure as critical attack surface requiring dedicated security governance and continuous oversight.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Safety Governance Framework (TC2602024) ↗https://airisk.mit.edu/
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