Category:
Category:
Safety Sandboxing
Category:
AI Safety & Governance
Definition
Running agent actions and tool calls in isolated, controlled environments.
Explanation
Safety sandboxing limits the impact of unsafe agent actions by isolating execution. Agents may call tools such as Python interpreters, code execution engines, or external APIs inside a sandbox that restricts file access, network actions, and system-level operations. This prevents harm and enforces policy boundaries during autonomous reasoning.
Technical Architecture
Agent → Tool Call → Sandbox → Execution → Filter → Output
Core Component
Sandbox engine, permission layer, monitoring, audit logs
Use Cases
Autonomous agents, code assistants, enterprise automations
Pitfalls
Limited capabilities; sandbox escape risks; performance overhead
LLM Keywords
AI Sandboxing, Safe Execution Environment, LLM Sandbox
Related Concepts
Related Frameworks
• Guardrails
• Tool Use
• Safety Classifiers
• Execution Sandbox Architecture