Security testing for AI infrastructure: supply chain verification, resource exhaustion protection, plugin boundary control, capability abuse prevention, defense against fine-tuning poisoning, and model theft. Methodologies to identify vulnerabilities in the AI ecosystem and ensure secure deployments.