Overview
1. Assessment Phase: Data and AI Readiness Check Together with your team, we analyze which data, applications, and workloads are suitable for the AWS Sovereign Cloud – from both a functional and regulatory perspective:
- Data Type Analysis: Identification and classification of sensitive or regulated data (e.g. personal data, critical business data).
- Workload Suitability: Evaluation of existing AI and data applications in terms of technical, economic, and regulatory migration readiness.
- Regulations & Compliance: Assessment of GDPR, BSI requirements, and industry-specific regulations.
- Architecture Recommendation: Draft of a target architecture including sovereign data access, role separation, and technical data protection.
Outcome: A well-founded migration plan with prioritized use cases, architectural sketch, and executive decision support.
2. Quickstart into the AWS Sovereign Cloud We accelerate your first productive steps with a preconfigured setup and secure integration:
- AWS Sovereign Cloud Setup: Deployment of the isolated AWS Sovereign Cloud environment.
- Network & Security Configuration: Secure connection to your existing cloud or on-prem infrastructure (e.g. VPN, PrivateLink, Direct Connect).
- Data Migration (Proof of Concept): Selection and migration of a pilot dataset or test application.
- Deployment of Initial AI or Analytics Use Case: For example, machine learning model training with sovereign data access or analytics workloads using Amazon SageMaker.
- Governance & Auditability: Activation of logging, monitoring, audit trails, and role-based access control.
Outcome: A fully functional prototype in the AWS Sovereign Cloud – seamlessly integrated and securely manageable.
3. Integration into Existing IT and Cloud Landscapes We enable hybrid operations and seamless integration with your current infrastructure:
- Connection Architecture: Design of hybrid scenarios (e.g. Sovereign Cloud for sensitive data + public cloud for frontend services).
- dentity Federation: Secure integration with existing IAM systems (e.g. Active Directory, AWS IAM Identity Center).
- Process Integration: Alignment with existing CI/CD pipelines, data flows, and monitoring systems.
Highlights
- Legally compliant cloud usage for sensitive data and AI workloads
- Quick start with clear recommendations and proven methodology
- Full data control enabled by technical and organizational sovereignty
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.