> For the complete documentation index, see [llms.txt](https://bluurdoc.bluur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bluurdoc.bluur.ai/en/getting-started/quick-start/key-features/ai-model-security.md). # AI model security The model used by the system is deployed in the Bluur infrastructure and runs in a frozen version. This means that its parameters are not automatically changed during users’ work or based on the submitted documents. Customer documents, classification results, and corrections made by users are not used to train, retrain, or automatically modify the model. The data contained in the documents is not transferred to external AI models for the purpose of performing classification. Processing takes place within the system’s infrastructure and is used solely to carry out operations related to document classification and anonymization. This approach helps maintain a stable and predictable way of operating the classifier and reduces the risk of using the contents of documents for purposes other than performing the system’s functions. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://bluurdoc.bluur.ai/en/getting-started/quick-start/key-features/ai-model-security.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.