Data and AI sovereignty is becoming a critical priority as geopolitical tensions, evolving regulations, and growing dependence on external technology providers reshape enterprise technology strategies. Organizations must look beyond data residency to understand who controls their data, AI models, and digital infrastructure, while ensuring security, compliance, and business continuity.

Discover how data, AI, and agentic sovereignty influence enterprise architectures, exposing organizations to strategic dependencies, vendor lock-in, security vulnerabilities, and jurisdictional challenges. Explore different sovereignty maturity levels and understand how to balance technological independence with cost, complexity, performance, and access to advanced AI capabilities.

Learn how to develop a hybrid sovereignty strategy across cloud, on-premises, and edge environments. This report explores metadata-driven governance, risk assessment, and practical steps to strengthen control, enforce policies, demonstrate compliance, and build resilient, trustworthy AI systems.