SECSEC-001 — Model Security Vulnerabilities
Adversarial Attacks Manipulate AI Model Outputs
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Adversarial inputs can silently corrupt AI model decisions, producing incorrect outputs without triggering standard error detection. Boards face operational and regulatory exposure where manipulated AI outputs drive consequential business or compliance decisions.
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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