SECSEC-001 — Model Security Vulnerabilities
Prompt Injection Attacks Enable Adversarial Manipulation of Generative AI Systems
4/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI systems lack architectural separation between system instructions and user input, allowing malicious actors to hijack model behaviour through prompt injection. Boards face regulatory exposure and operational risk where such vulnerabilities enable denial-of-service attacks or circumvention of AI detection controls.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024) ↗https://airisk.mit.edu/
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