AI Sandbox Use Cases in Enterprise Developer Platforms
Eight enterprise patterns show where sandboxes prevent AI code disasters and earn their cost.
Tomás Echeverría
Section
7 stories in AI Sandbox.
Eight enterprise patterns show where sandboxes prevent AI code disasters and earn their cost.
Tool calls need policy sandboxing; LLM-generated code demands kernel isolation.
Sandboxing code agents requires five interdependent security properties working together.
AI-generated code breaks the static threat model that traditional sandboxes were built on.
Regulatory sandboxes let compliance-heavy industries test AI without liability exposure.
Rapid AI agent deployment outpaces security architecture design decisions.
OS-level sandboxes miss the real attack surface: language space inside the model.