AI infrastructure security testing focused on configuration and hardening of core components: training servers, deployment environments, containers, orchestrators, and software dependencies. Verifies exposure to known vulnerabilities, weak configurations, excessive permissions, and unnecessary attack surfaces in infrastructure hosting ML models and pipelines.