Full course coming soon

Data Sovereignty for Cloud and AI Procurement

7 chapters · 33 lessons

1. 1. The Five Dimensions of Data Sovereignty

   5 lessons

   Understand how location, legal entity, access paths, transfer mechanisms, and technical controls combine to determine jurisdictional exposure.

2. 2. Evaluating Cloud and SaaS Vendor Claims

   5 lessons

   Assess vendor documentation, architecture diagrams, and contract terms to verify sovereignty promises.

3. 3. Sovereignty in AI and Data Pipelines

   5 lessons

   Analyze sovereignty risk across embeddings, vector databases, model inference, and retrieval-augmented generation workflows.

4. 4. Designing Compliant Multi-Region Architectures

   4 lessons

   Build reference architectures that satisfy residency, latency, resilience, and sovereignty requirements simultaneously.

5. 5. Procurement Requirements and Contract Negotiation

   5 lessons

   Translate sovereignty needs into RFP criteria, contract clauses, and service level commitments.

6. 6. Sector-Specific Sovereignty Scenarios

   4 lessons

   Apply sovereignty frameworks to healthcare, financial services, public sector, and critical infrastructure use cases.

7. 7. Operationalizing and Auditing Sovereignty Commitments

   5 lessons

   Implement ongoing monitoring, vendor audits, and governance processes to maintain sovereignty posture over time.