AI development typically prioritises feasibility and implementation. While solutions should be efficient, high-performing and scalable, sovereignty and data security are often overlooked. These issues tend to be overlooked when solutions are being found, even though we don't use AI as an end in itself, but rather to benefit or support our customers. Customers operate within a regulatory framework and rely on responsible technology. Rather than seeing regulation as a hindrance, we should view it as an opportunity to drive innovation and create sustainable, trustworthy solutions. However, this is only possible if we understand the full meaning of sovereignty. This presentation will explore the various aspects of the term 'sovereignty' and its potential impact on AI projects. We will discuss current examples from politics and development to identify best practices for secure data processing.