SECSEC-001 — Model Security Vulnerabilities
Deliberate Pre-Deployment Sabotage of AI Systems by Insiders or Hackers
4/5Sector: GovernmentGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI systems face intentional corruption during development through insider tampering, supply chain compromise, or adversarial training data injection. Boards must treat pre-deployment integrity controls as a governance priority, not a purely technical safeguard.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Taxonomy of Pathways to Dangerous Artificial Intelligence (Yampolskiy2016) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.