Sandbox Hardening

Part of Agent Skills™ by googleadsagent.ai™

Description

Sandbox Hardening isolates agent execution environments using container sandboxing, permission boundaries, resource limits, and network segmentation. The agent configures and validates sandboxes that prevent AI-generated code from accessing unauthorized resources, consuming unbounded compute, or affecting the host system.

An AI agent with unrestricted shell access is a security liability. Without sandboxing, a prompt injection or hallucinated command could delete files, exfiltrate data, install malware, or consume unbounded resources. Sandbox Hardening applies the principle of least privilege: the agent receives only the permissions it needs, in an isolated environment with strict resource limits and monitored network access.

This skill covers three isolation levels: process-level sandboxing (seccomp, AppArmor), container-level isolation (Docker with restricted capabilities), and VM-level isolation (microVMs like Firecracker). The appropriate level depends on the trust boundary: internal development tools use process-level, multi-tenant platforms use container-level, and untrusted code execution requires VM-level isolation.

Use When

• Running AI-generated code in production or shared environments
• Configuring agent execution environments with least-privilege access
• Deploying multi-tenant AI platforms where users share infrastructure
• Executing untrusted code from user inputs or AI outputs
• Implementing compliance requirements for isolated execution