Governance-Aware Multi-Tenant AI Sandbox for Collaborative Experimentation
A recent technical report available on arXiv (2608.02679) outlines the creation and execution of a governance-aware, multi-tenant AI sandbox designed to enable collaborative experimentation between industry and academia. This platform meets the demand for quick prototyping while maintaining controlled access, separation of tenants, and clear workflows. Its development involved iterative refinement of requirements in partnership with industry collaborators. The reference architecture distinguishes the multi-tenant user interface from the backend control plane, with dedicated layers for execution and data management. The sandbox facilitates structured experimentation and the production of reusable evaluation evidence across various projects and stakeholder groups. This report addresses the need for practical guidance in merging experimentation capabilities with governance considerations in AI sandbox design.
Key facts
- Report published on arXiv with ID 2608.02679
- Focuses on AI sandbox design and implementation
- Platform is governance-aware and multi-tenant
- Developed in industry-academia collaboration
- Requirements refined with industrial partners
- Architecture separates UI from backend control plane
- Execution and data-management functions in dedicated layers
- Supports generation of reusable evaluation evidence
Entities
Institutions
- arXiv