Digital Sovereignty Diagnostic¶
The Digital Sovereignty Diagnostic is the first standalone assessment in the Nishanth Konsultancy assessment catalogue.
It helps teams map jurisdiction, data-flow, transfer, cloud dependency, vendor dependency, and evidence-readiness risks before these become procurement, governance, architecture, or customer-trust blockers.
Live standalone assessment
Run the diagnostic on its own subdomain
The assessment app, rule model, and export workflow are maintained outside this MkDocs hub.
Launch Digital Sovereignty Diagnostic- Diagnostics & Assessments
- Security Validation & Enterprise Readiness
- Cloud & Platform Engineering
- AI Infrastructure
Who it is for¶
This diagnostic is useful for:
- SaaS teams preparing for enterprise customer review.
- AI and LLM product teams dealing with sensitive data, prompts, embeddings, inference, or retrieval workflows.
- Cloud teams that need to understand vendor, region, and platform dependency.
- Founders who need a structured view of sovereignty, portability, and evidence gaps.
- Teams preparing for customer due diligence, security questionnaires, or cross-border data-flow discussions.
What it checks¶
The diagnostic focuses on practical implementation and evidence signals across these areas:
| Area | What it looks for |
|---|---|
| Jurisdiction | Where customer data, logs, backups, analytics, and AI-related data may be processed or stored. |
| Data flow | Whether data origins, transfers, processors, retention, deletion, and access paths are visible. |
| Cloud and vendor dependency | Whether critical workloads depend on one cloud, API, managed service, region, or opaque vendor. |
| AI and model dependency | Whether prompts, embeddings, inference, retrieval, and model-routing decisions are understood. |
| Evidence readiness | Whether the team can produce documentation, configuration evidence, logs, and operational proof. |
| Portability and exit | Whether recovery, migration, and continuity paths are practical rather than theoretical. |
Inputs that help¶
The assessment can be completed as a preliminary self-check, but better outputs come from having these inputs ready:
- Cloud architecture overview.
- Data-flow notes or diagrams.
- List of major vendors, processors, APIs, and SaaS dependencies.
- Regions used for application hosting, storage, logs, backups, analytics, AI APIs, and support tools.
- Security questionnaire responses, if available.
- Existing policies, runbooks, or customer evidence packs.
Output¶
The standalone assessment is designed to produce a practical diagnostic result that can be used as input for a consulting engagement.
Expected outputs include:
- Risk and readiness signals.
- Evidence checklist.
- Follow-up action areas.
- Exportable result data.
- Discussion starting point for architecture, security, cloud, and enterprise-readiness remediation.
Warning
This diagnostic is not legal advice, a compliance certification, or an audit opinion. It is a practical technical-readiness tool.
Recommended next step¶
Run the diagnostic, export the output, and use it as input to a bounded Nishanth Konsultancy diagnostic or remediation engagement.