Data Security and Boundaries
1. Security principles
Industrial users evaluating AI products typically care most about data controllability and clear operational boundaries.
Prodia’s default principles are:
- production data stays in a customer-controlled environment whenever possible
- deployment boundaries follow network and security requirements
- capabilities are opened according to role and authorization
2. Common security expectations and responses
| Requirement | Prodia response |
|---|---|
| Data cannot leave the factory | Supports private and intranet deployment |
| Network segmentation is required | Supports hub, edge, and isolated-zone deployment design |
| External access must stay limited | External model access can be bounded by strategy |
| Different roles need different permissions | Access scope can be limited by role and system authorization |
3. System boundary
Prodia does not replace execution systems
It is better positioned above existing systems as an intelligent analysis and diagnosis layer.
Prodia’s effect depends on connected data quality
If critical objects, time definitions, or business semantics are missing, the analytical depth will shrink.
Action capability depends on project authorization
Conversational analysis and diagnosis are standard capabilities. Whether jumps, write-backs, or action linkage are enabled depends on the project boundary and authorization scope.
4. Three layers to understand the boundary
- Deployment layer: private and intranet deployment are possible
- Data layer: data flows within customer-controlled boundaries
- Permission layer: different roles see and operate within different scopes
5. Typical summary statement
Prodia is designed not to take data away, but to turn data inside the existing IT/OT environment into safer and more actionable operational insight.