This article explores the fusion of confidential computing and generative AI within the Procurize platform. By leveraging Trusted Execution Environments (TEEs) and encrypted AI inference, organizations can automate security questionnaire responses while guaranteeing data confidentiality, integrity, and auditability—transforming compliance workflows from risky manual processes to a provably secure, real‑time service.

This article explores how Procurize leverages federated learning to create a collaborative, privacy‑preserving compliance knowledge base. By training AI models on distributed data across enterprises, organizations can improve questionnaire accuracy, accelerate response times, and maintain data sovereignty while benefiting from collective intelligence.