Sandbox Review — Page 3

Infrastructure that scales sandbox capacity to match hundreds of concurrent AI agents.

Where your AI sandbox runs determines compliance, cost, and operational control.

Prompt injection now gives attackers a direct path to remote code execution inside AI agent systems.

Production agents need snapshot and fork to avoid rebuilding state on every iteration.

Filesystem boundaries for agents require explicit path allowlists and task-specific storage quotas.

How frameworks route untrusted agent code to isolated execution environments.

Default-deny network access is the only defense that survives prompt injection attacks.

Learn FastMCP's decorator pattern to wire Python functions as callable tools for AI agents.

Running untrusted C code requires hardware virtualization, not containers.

Different isolation models require profilers that live inside the guest sandbox itself.

Optimizing what goes into sandbox base images cuts cold-start time from minutes to seconds.