Subscribe to Help Center RSS FeedJumpCloud offers a suite of AI-powered tools designed to help you manage your IT environment more efficiently. These features are designed to help you gain deeper insights about your org, improve your workflows, and simplify your administrative operations. Whether you’re searching for something, creating a report, automating tasks, or sending commands to your devices, AI can help.
JumpCloud supports the following AI-powered features:
- AI Search - Supercharges Admin Portal search to help you find anything in your org, generate lists and reports, and get how-to instructions directly in the Admin Portal.Â
- MCP Server - Integrates JumpCloud with supported AI tools, such as code editors and large language models (LLMs), to build and enhance on your AI workflows.
- AI Commands Builder - Generates device commands with natural language, allowing you to describe an action and review the resulting code.
- AI Admin Assistant (Coming Soon) - Enables you to quickly view and manage users, devices, and groups through a chat interface without navigating the Admin Portal.
Considerations:
- These features are under active development. Certain functionality, naming, and branding may be subject to change.
- AI can make mistakes. Always review any AI-generated output for accuracy.
- Every AI-powered action is logged as a Directory Insights (DI) event to help you understand, track, and audit usage.
Privacy and Security
JumpCloud's AI-powered features are designed to enhance your experience and streamline your work while maintaining data privacy and security standards. When you use any AI-powered feature, here's what happens with your data:
- Opt-In Only - All AI features are turned off by default and require your express opt-in.
- No LLM Training - Customer Data is not used to develop or train AI LLMs.
- Consent-Based Use - Customer Data will not be used to develop or train JumpCloud’s AI-powered features and models, except to provide the Service to you or if you provide express consent.
How Data is Processed
JumpCloud uses Google Gemini as the LLM for AI-powered features. Depending on the feature, the text you enter is interpreted by Gemini to determine an action, which is then facilitated using JumpCloud’s APIs.
| Feature | Data Usage | Notes |
|---|---|---|
| AI Search | Only the text you enter is sent to Gemini. | |
| MCP Server | Connects JumpCloud to third party tools. Results are collected using JumpCloud APIs. | |
| Commands Builder | The text you enter and responses are interpreted by Gemini. | |
| AI Admin Assistant | The text you enter and responses are interpreted by Gemini. | All write and delete actions require confirmation. |
FAQ
JumpCloud currently uses Google Gemini to power its AI Features.
No, our agreement with Google Gemini prevents Google from training their models based on the data sent to them.
We protect all Customer Data as described in the DAASA Terms and our DPA, including any Customer Data related to use of AI Features. We don’t share your Customer Data with third parties for training purposes.
Yes, you can use SaaS & AI Management to monitor AI tool usage and implement policies to warn or block users from accessing them. See Get Started: SaaS Management to learn more.
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