Choosing a Sandbox for AI Agents
Sandbox Selection Criteria for Agentic Workloads
AI agents need isolation criteria tailored to untrusted, autonomous code execution.
Marcus Oyelaran
· 11 min read
AI agents need isolation criteria tailored to untrusted, autonomous code execution.
AI-generated code breaks the static threat model that traditional sandboxes were built on.
Namespaces control visibility, not security, and confusing the two enables container escapes.
Regulatory sandboxes let compliance-heavy industries test AI without liability exposure.
Models now sustain fourteen-hour tasks, but single-shot sandboxes weren't built for that.
Rapid AI agent deployment outpaces security architecture design decisions.
OS-level sandboxes miss the real attack surface: language space inside the model.