Solutions to address the security risks of AI code testing
Arrakis ensures host system security through the following multi-layered protection mechanisms:
- MicroVM Isolation Technology: Using lightweight virtual machine technology to completely isolate the AI code running environment from the host, no malicious code can break through the sandbox boundary.
- Default Security Configuration: Each sandbox has a streamlined Ubuntu system built in, the initial state contains no sensitive data, and network access is strictly limited.
- Security Enforcement Strategy: All code execution is done under restricted user privileges to avoid privilege escalation attacks.
Specific operational steps:
- Configure the Linux hosting environment according to the installation guide (KVM virtualization needs to be enabled)
- utilization
arrakis-client startcommand to create a standalone sandboxed environment - Submit AI code for execution in a sandbox via REST API or Python SDK
strengthened proposal: Regularly update the Arrakis version to get the latest security patches, and for highly sensitive environments use SELinux and other host hardening solutions.
This answer comes from the articleArrakis: an open-source tool that provides a secure sandbox environment for AI intelligencesThe
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