Choosing a Sandbox for AI Agents
Sandbox Selection Criteria for Agentic Workloads
Choose your sandbox based on threat model, not benchmark charts.
Omar Petrova
Reporter · · 12 min read
Choose your sandbox based on threat model, not benchmark charts.
AI agents demand isolation from the kernel itself, not just from each other.
Namespaces control visibility, not security, and that distinction matters for container escapes.
Regulatory sandboxes let compliance-heavy industries test AI without liability exposure.
Models can now sustain multi-hour tasks, but sandboxes designed for minutes are the bottleneck.
Runaway AI agent deployments demand isolation architecture designed for untrusted runtime code.
Traditional sandboxes miss LLM attacks that execute in language space, not the operating system.