> For the complete documentation index, see [llms.txt](https://docs.glbnxt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.glbnxt.com/faq/glbnxt-workspace/is-my-conversation-data-stored-or-used-to-train-ai-models.md). # Is my conversation data stored or used to train AI models? No. Your conversation data is never used to train AI models, by GLBNXT or any third party. This is one of the most important distinctions between GLBNXT and many of the consumer or hyperscaler AI tools your teams may have encountered elsewhere. With those platforms, your inputs can contribute to improving the provider's models over time. With GLBNXT, that does not happen. Your conversations are processed within your sovereign environment to generate responses, and that is where their role ends. They are not analysed, shared, or fed into any training pipeline. Whether conversation history is retained, and for how long, depends on the configuration your administrator has put in place. Some organisations choose to retain conversation logs for audit and compliance purposes, while others configure shorter retention periods or none at all. Either way, that data remains within your environment and under your organisation's control. If you have specific questions about how conversation data is handled in your deployment, your administrator or your GLBNXT account team can provide the details relevant to your configuration. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.glbnxt.com/faq/glbnxt-workspace/is-my-conversation-data-stored-or-used-to-train-ai-models.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.