Bytebot ensures the privacy and security of user data in the following ways:
- local operation: All tasks and data run in the user's local containers, with no dependence on cloud services, and the data does not leave the user's infrastructure.
- containerized isolation: Based on Docker containerization technology, it provides an isolated runtime environment to avoid conflicts with other system components.
- Customizing API Keys: Users can use their own AI model API keys (e.g., Claude, OpenAI, or Gemini) to avoid third-party access to sensitive data.
- Safety Configuration: Users are advised to change the default VNC password and update the container image regularly for security patches.
This answer comes from the articleBytebot: Automating Desktop Tasks in Linux Containers with Natural LanguageThe
May not be reproduced without permission:AI productivity tools " How does Bytebot ensure the privacy and security of user data?
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