Sandbox AI Agents with Full macOS
Full macOS isolation beats containers for agents needing GUI apps and native tools.

macOS Endpoint Security frameworks beat sandbox-exec for AI agent isolation.
Developers using AI coding agents like Claude Code
sandbox-exec · Docker · Firejail
Ash restricts resources via the Endpoint Security and Network Extension frameworks. These frameworks are significantly more powerful than the sandbox-exec tool.
Each session is driven by a policy file. Any out-of-policy action is denied by default. You can audit denials in the GUI app, which lets you view out-of-policy actions and retroactively add them to your policy file.
Ash also comes with tools for building policies. You can use an "observation session" to watch the typical behavior of a coding agent and capture that behavior in a policy file for future sandbox sessions. Linting, formatting, and rule merging are all built into the Ash CLI to keep your policy files concise and maintainable.
Download Ash at https://ashell.dev
Full macOS isolation beats containers for agents needing GUI apps and native tools.
Hypervisor isolation for AI agents beats containers when running untrusted code locally.
Native macOS VMs with APFS snapshots beat Docker for agent isolation.
Rust EDR with eBPF on Linux competes against CrowdStrike and Wazuh.
Eight enforced security layers for AI agents, but unclear if this beats custom middleware for most teams.
Four-tier validation pipeline means compromised LLMs literally cannot execute dangerous actions.