Data Flows
Using generative AI in a business environment requires powerful tools and trust. At Intric, transparency about how your data is handled is fundamental. We make it easy for your organization to ensure compliance and understand exactly where information goes.
This article provides an overview of how the Intric platform handles data, which actors are involved, and the principles we follow.
Our core principles for data handling
Our security work rests on three main principles designed to protect business secrets and personal data:
- No training on your data: Intric never uses customer data (prompts, uploaded files, or chats) to train our own models. We also ensure through agreements that the LLM providers we offer do not use your data for model training.
- Data minimization: We share only the information that is absolutely necessary to perform a specific task. If a tool or sub-supplier is used, only relevant context is sent—never your entire database.
- Your data, your control: As a customer, you own all data you create and upload to the platform. You control which AI models and external tools are available to your users.
Intric’s role in the ecosystem
Intric functions as an orchestration layer—a secure intermediary that connects your users with the world’s best AI models and tools.
When you use Intric, data flows between three main categories of actors. To facilitate your risk assessment, we have detailed articles for each specific flow.