Abstract : Graph technologies offer a transformative framework for addressing the escalating challenges of privacy compliance in an increasingly regulated landscape. By leveraging the inherent relationship-centric structure of graphs, organizations can model complex data ecosystems, track information flows, and enforce granular privacy policies with unprecedented efficiency. Knowledge graphs encode regulatory requirements as interconnected semantic networks, enabling automated reasoning about compliance obligations while significantly reducing manual effort. Integrating graph-based data mapping with regulatory knowledge representation creates dynamic compliance frameworks that adapt to evolving regulations and changing business processes. These technologies establish a foundation for comprehensive, efficient, and demonstrable privacy compliance that addresses the multidimensional nature of modern regulatory requirements.