International data transfer (IDT) regulations are significant for secure cloud adoption, establishing requirements for transparency, data sovereignty, and legal accountability in line with global frameworks such as the GDPR, CCPA, and Digital Personal Data Protection Act (DPDPA). Present solutions lack the capacity for scalable compliance monitoring and fail to provide reliable traceability across multiple jurisdictions. This paper proposes a unified compliance framework that combines natural language processing (NLP) with blockchain‐enforced smart contracts. At its core, a fine‐tuned Legal‐BERT model, enhanced by heuristic rules, automatically assesses cloud data–sharing agreements, classifying clauses as legally sound, ambiguous (requiring review), or noncompliant. Based on this analysis, an autonomous decision engine recommends approval, manual intervention, or rejection of the transfer. Successful (compliant) transfers are managed via Polygon‐based smart contracts, which guarantee secure, automated execution and generate immutable audit logs containing detailed clause evaluations, unique transfer identifiers, and time‐stamped metadata. Furthermore, recipient‐side verification protocols are implemented to confirm adherence to local regulatory mandates. By synergistically leveraging the interpretability of NLP with the auditability of blockchain technology, this framework significantly reduces manual oversight, enhances stakeholder trust, and delivers a scalable, regulation‐compliant solution for automated cross‐border data transfer compliance in modern cloud ecosystems.
R. et al. (Thu,) studied this question.