AI-Assisted Data Governance with Data Mesh Manager

The exchange of data across systems, both within and between organizations, is governed by company policies and data protection regulations. As policies and data flows evolve over time, ensuring continuous compliance of data exchange remains a complex challenge. In federated data architectures, the validation of data access requests is a critical and labor-intensive process. Previously, constraints were formalized into data contracts using rule-based specification languages for automated compliance and access verification. However, these constraints originate from legal documents, and translating them into formal data contracts is tedious and error-prone. Each update to source documents required repeating the translation process, increasing the risk of inconsistencies. To address this challenge, we developed Governance AI, a large language model-based tool for evaluating data access requests based on relevant policies, the type of data requested, and the request's context. This approach streamlines governance processes while maintaining compliance with evolving regulatory requirements.