Sandboxing Patterns for Local AI Agents With Filesystem Access
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Sandboxing patterns for local AI agents with filesystem access, highly actionable and directly relevant to AI agent security.
Summary
Local AI agents with filesystem access pose risks from confident mistakes, not malice. Key sandboxing patterns include allowlisting only specific root directories (canonicalized to prevent path traversal), denying dotfiles and secrets by default even inside allowed roots, implementing dry-run modes that show unified diffs before writes, and using read-only bind mounts for reference material. These patterns mirror smart contract security thinking applied to agent tooling.