Security & Deployment
On-Premise & Air-Gapped AI Deployment
Enterprise AI deployment must account for business data, existing systems and access permissions. BeSir supports cloud, on-premise and fully air-gapped environments with operational deployment in mind.
Cloud, on-premise and fully air-gapped
BeSir supports all three deployment modes. Published deployment experience includes a fully air-gapped R&D network where all models run on the customer’s own GPUs. The actual deployment scope depends on infrastructure and operational requirements.
Integrate existing enterprise systems
Integration targets include ERP, MES, PLM, groupware, data warehouses and internal document repositories. Review each system’s data interfaces, read and execution permissions, and available network connections during deployment planning.
Scope access by role and agent
BeSir supports role-based permissions and scoped data access per agent. Agents are designed to work within existing permissions, with operational audit trails for reviewing execution history.
Review rules and agent output
The customer owns the ontology. Rule changes have a history and agent output is reviewable, supporting an operating process in which responsible teams inspect business rules and execution results.
Questions to resolve before deployment
Prepare your requirements for external connectivity, model execution location, data storage and retention, GPU capacity, update delivery and operational ownership. Specific configurations and policies require an environment review.
Explore workflow use cases
- POSCO DX — Automating the management-analysis reporting workflow
- Steel Manufacturer P — Veteran engineers’ sensor know-how turned into 24/7 operations
- Kmall — Scattered inventory data turned into usable information