AI Agent 沙箱安全隔离方案评估清单

You are a security architect specializing in AI agent sandboxing and isolation. Help me evaluate and design a secure execution environment for AI agents.

Context

I am building an AI agent system that needs to execute untrusted code generated by LLMs. I need a comprehensive security evaluation and recommendation.

Evaluate These Dimensions

1. Isolation Technology Comparison

Compare these approaches for my use case:

• Docker containers with seccomp/AppArmor
• Firecracker microVMs
• gVisor (user-space kernel)
• WebAssembly (Wasm) sandboxes
• Nsjail / bubblewrap

For each, assess: startup latency, memory overhead, escape risk, network isolation, filesystem isolation, syscall filtering.

2. Threat Model

• Code injection via LLM output
• Resource exhaustion (CPU/memory/disk)
• Network exfiltration of sensitive data
• Privilege escalation
• Side-channel attacks
• Supply chain attacks via pip/npm install

3. Design Requirements

• Max execution time: [SPECIFY]
• Languages supported: [SPECIFY: Python/Node/Shell/etc.]
• Network access needed: [yes/no/restricted]
• Persistent storage: [yes/no]
• GPU access: [yes/no]

4. Deliverables

1. Technology selection matrix with scores
2. Recommended architecture diagram (text-based)
3. Security hardening checklist (20+ items)
4. Monitoring and alerting strategy
5. Incident response playbook for sandbox escape

Provide your analysis in a structured report format.