SECSEC-001 — Model Security Vulnerabilities
Malicious AI Use: Deepfakes, Cyber Attacks and Surveillance Risks
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems face deliberate misuse for deepfake generation, automated cyber attacks, and invasive surveillance, constituting intentional harm rather than incidental failure. Boards must disclose these abuse vectors pre-deployment or face regulatory scrutiny and material liability under emerging SEC risk standards.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023) ↗https://airisk.mit.edu/
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