IronCurtain

Overview

IronCurtain is a secure runtime for autonomous AI agents, providing a hardened execution environment that isolates agent operations from the host system. As AI agents become more autonomous and powerful, sandbox security has become a critical concern for enterprises, and IronCurtain addresses this need with a purpose-built secure runtime.

Features

• Secure agent runtime: Isolated execution environment for autonomous agents
• Sandbox isolation: Full separation from host system
• Resource constraints: Configurable CPU, memory, and network limits
• Audit logging: Complete audit trail of agent actions
• Policy enforcement: Define what agents can and cannot do
• Enterprise-ready: Designed for production agent deployments

Installation

# Check GitHub for latest release
# https://github.com/provos/ironcurtain
git clone https://github.com/provos/ironcurtain
cd ironcurtain
make install

Configuration

# ironcurtain.yaml
runtime:
  max_memory: "2GB"
  max_cpu: "50%"
  network:
    allowed_domains:
      - "api.example.com"
  filesystem:
    allowed_paths:
      - "/data/agent-workspace"
  audit:
    enabled: true
    log_path: "/var/log/ironcurtain"

Usage Examples

# Start agent in secure runtime
ironcurtain run --agent my-agent --config ironcurtain.yaml

# List running agents
ironcurtain list

# View audit logs
ironcurtain audit --agent my-agent

Pros

• ✅ Purpose-built for autonomous agent security
• ✅ Strong isolation guarantees
• ✅ Audit logging for compliance
• ✅ Enterprise-ready design

Cons

• ❌ Relatively new project
• ❌ Limited documentation
• ❌ May add complexity to agent workflows

When to Use

• Deploying autonomous AI agents in production
• Need strong security isolation for agent operations
• Enterprise compliance requirements for AI agents
• Building secure agent infrastructure

Resources

• GitHub