Cloud Provider Exploitation

Major cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) serve thousands of organizations through shared infrastructure. Exploiting these platforms provides access at scale — a single vulnerability in a cloud AI service can affect every customer using it. The attack surface includes multi-tenancy isolation failures (cross-tenant data leakage through shared GPU memory or storage), identity system compromise (IAM misconfigurations granting excessive AI service permissions), orchestration layer vulnerabilities (Kubernetes, Airflow, Kubeflow managing ML pipelines), and cloud-specific AI APIs with unique authentication models.

Cloud provider exploitation provides the initial access for T14-AT-001 (GPU Farm Hijacking), T14-AT-003 (Cost Inflation), and T14-AT-013 (Economic Espionage). A single cloud provider compromise cascades into T14-AT-014 (Systemic Risk Creation) affecting all dependent customers.