Elena, a Vendor Risk Manager, is auditing a prospective AI translation provider.

According to the CAIPM governance and risk management framework, third-party and sub-processor risk is a critical component of AI vendor assessment. Organizations must understand not only the primary vendor’s security posture but also the full data supply chain, including any external entities that may access, process, or handle data.

In this scenario, the key issue is that anonymized text snippets are being routed to third-party linguistic specialists, and these entities are neither disclosed in the contract nor governed by defined security obligations. This creates a significant governance gap, as data exposure risk extends beyond the primary vendor. The most critical question to uncover and manage this risk is “Who else touches the data?” because it directly addresses data access, third-party involvement, and accountability across the supply chain.

Option A focuses on model training usage, which is a separate concern. Option C relates to data portability, and Option D addresses data retention policies—both important but not directly relevant to undisclosed third-party access.

CAIPM emphasizes the need for full transparency of all data processors, clear contractual obligations, and enforceable security controls across the entire vendor ecosystem. Therefore, identifying who else interacts with the data is the primary step in exposing and mitigating this supply chain risk.