LLM Data Tenancy Policy

Data Tenancy refers to how data is stored and segregated within a system when multiple customers or tenants are using the same infrastructure or service. For a Large Language Model (LLM) like OpenAI’s GPT or a custom AI model, tenancy ensures that customer data remains logically separated from each other in a multi-tenant system.

Policy Details:

• Multi-Tenant Model:
  We use a multi-tenant architecture where customer data is logically isolated within our systems. This ensures that each customer's data remains confidential and is not mixed with data from other users or tenants, even though the LLM operates on shared infrastructure.

• Logical Isolation:
  Customer data is stored in distinct, secure containers within our LLM infrastructure. Although the same underlying hardware might be used for multiple clients, data is logically separated at the software level, ensuring privacy and security.

• No Cross-Tenant Data Access:
  Our LLM systems do not allow cross-tenant access to any customer data. Only authorized users and system processes can access data tied to a specific customer or tenant, and this access is strictly controlled.

• Data Access for Support:
  In the event of customer support needs, access to customer data is granted to our support teams only on a temporary, need-to-know basis and with appropriate security measures in place to prevent unauthorized access.