Choose the deployment model that fits your data, infrastructure, and operating requirements.
This page describes KiberFlow deployment patterns and design principles. Specific security controls and compliance requirements should be validated for each production engagement; no certifications are implied here.
Managed cloud is the starting point for the standard support offer. Customer-cloud, hybrid, on-premise, and air-gapped requirements need a separately scoped architecture and support agreement.
| Deployment option | Typical fit |
|---|---|
| KiberFlow Managed Cloud | Faster deployment and simplified platform operations. |
| Customer Cloud | Greater infrastructure and data control inside the customer's environment. |
| Hybrid | Customer-controlled data or services combined with selected managed AI capabilities. |
| On-Premise | Organizations with stronger infrastructure, isolation, or data-location requirements. |
| Sovereign / Air-Gapped | Specialized environments where architecture must minimize or eliminate external dependencies. |
Access boundaries
Design agent access around approved users, roles, workspaces, tenants, and enterprise information sources.
Model & data design
Choose models and processing locations according to business, security, performance, and operating constraints.
Evaluation & traceability
Production quality, source usage, and changes to intelligence should be observable and reviewable where the solution design requires it.
Before production
A deployment review should document identity and access requirements, data boundaries, retention expectations, PII/privacy handling, model-data policies, infrastructure ownership, logging, backup/recovery expectations, and any applicable compliance obligations. These details depend on the target environment and should not be assumed from a marketing page.
Have a specific deployment or security constraint?
We can review it during solution architecture and determine what must be supported before production.