AI Agent Sandbox
Secure, isolated environment for testing and developing AI agents. Prevent unauthorized access and ensure safe experimentation.
Sandbox Features
Containerized environment with no access to production systems, networks, or sensitive data.
Configurable CPU, memory, and network limits prevent resource exhaustion and runaway agents.
Spin up isolated sandbox environments in seconds with pre-configured security policies.
Built-in API mocking capabilities for testing agent interactions without real external calls.
Comprehensive logging of all agent actions, API calls, and resource access attempts.
Automatic detection and blocking of policy violations and suspicious agent behavior.
Security Controls
No direct internet access - all external calls go through proxy
Whitelist-based domain access control
DNS filtering and request inspection
Read-only access to system files
Isolated temporary directory for agent operations
Automatic cleanup after sandbox termination
Configurable timeout for agent execution
Maximum API call limits per session
Resource usage monitoring and enforcement
Getting Started
Install via pip
pip install ai-agent-sandboxOr use Docker
docker pull aisecurityhub/agent-sandbox:latestfrom agent_sandbox import Sandbox
# Create sandbox with security policies
sandbox = Sandbox(
max_execution_time=300, # 5 minutes
max_memory_mb=512,
allowed_domains=["api.openai.com"],
network_enabled=True
)
# Run your agent in the sandbox
result = sandbox.run(
agent=my_agent,
input_data={"task": "analyze data"},
timeout=60
)
# Review execution logs
print(sandbox.get_logs())
print(sandbox.get_violations())# Configure custom security policies
sandbox.add_policy({
"file_access": {
"allowed_paths": ["/tmp/agent-workspace"],
"read_only": True
},
"api_limits": {
"max_calls_per_minute": 60,
"max_tokens_per_request": 4000
},
"forbidden_operations": [
"execute_shell_command",
"modify_system_files"
]
})Download AI Agent Sandbox
Start testing your AI agents in a secure, isolated environment today.