# Data Security Skynet is designed to prioritize user data protection at every layer of the network. Unlike many AI platforms that rely on shared agents—where a single agent instance may serve multiple users—Skynet deploys a **dedicated agent per user**, running in an isolated environment. This ensures that each user’s data remains fully compartmentalized, preventing cross-user data leakage and eliminating the risk of one person’s experience being influenced by another’s private inputs. Beyond isolation, Skynet introduces another critical safeguard: **agent developers have no access to the agents they create once deployed**. This means creators can publish powerful agents, but cannot monitor or extract data from user interactions. It’s a zero-trust approach that reinforces user control, maximizes security, and builds confidence in the integrity of the system. Together, these design choices establish a privacy-first foundation for agentic computing—where personalization never comes at the cost of data safety. {% hint style="warning" %} Agents are spun up by the user or owner on compute provided by Skynets Ecosystem partner protocol, StackAI. {% endhint %} --- # Agent Instructions: 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: ``` GET https://documentation.skynet.io/skynet/getting-started/features/data-security.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.