OpenClaw for Enterprise: Deployment, Security & Scaling Guide
Why Enterprise Teams Choose OpenClaw
Enterprise teams adopt OpenClaw for the same reasons individuals love it — powerful AI automation — but with additional requirements around security, compliance, and scale.
Key enterprise advantages:
- Data sovereignty — Self-host on your infrastructure, keeping data in your control
- No vendor lock-in — Open-source with support for multiple LLM providers
- Cost efficiency — Pay only for infrastructure and API usage, no per-seat licensing
- Customizability — Build custom skills and integrations for your specific workflows
- Transparency — Full source code visibility for security audits
Deployment Options
Option 1: Shared Self-Hosted Instance
Best for teams of 5-50. A single OpenClaw instance serves the entire team:
# docker-compose.yml for team deployment
version: "3.8"
services:
openclaw:
image: ghcr.io/openclaw/openclaw:latest
restart: unless-stopped
ports:
- "127.0.0.1:3000:3000"
environment:
- OPENCLAW_AUTH_ENABLED=true
- OPENCLAW_AUTH_PROVIDER=oidc
- OPENCLAW_OIDC_ISSUER=${OIDC_ISSUER}
- OPENCLAW_OIDC_CLIENT_ID=${OIDC_CLIENT_ID}
- OPENCLAW_OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}
- OPENCLAW_API_KEY=${OPENCLAW_API_KEY}
- OPENCLAW_TEAM_MODE=true
volumes:
- ./config:/home/openclaw/.config/openclaw
- ./data:/home/openclaw/.local/share/openclaw
Option 2: Per-User Instances
Best for security-sensitive environments. Each developer gets their own isolated instance:
# Template per-user instance
services:
openclaw-${USER}:
image: ghcr.io/openclaw/openclaw:latest
restart: unless-stopped
environment:
- OPENCLAW_USER=${USER}
- OPENCLAW_API_KEY=${USER_API_KEY}
volumes:
- ./${USER}/config:/home/openclaw/.config/openclaw
- ./${USER}/data:/home/openclaw/.local/share/openclaw
networks:
- internal
Option 3: Kubernetes Deployment
For large organizations with existing Kubernetes infrastructure:
apiVersion: apps/v1
kind: Deployment
metadata:
name: openclaw
spec:
replicas: 3
selector:
matchLabels:
app: openclaw
template:
metadata:
labels:
app: openclaw
spec:
containers:
- name: openclaw
image: ghcr.io/openclaw/openclaw:latest
ports:
- containerPort: 3000
env:
- name: OPENCLAW_API_KEY
valueFrom:
secretKeyRef:
name: openclaw-secrets
key: api-key
resources:
requests:
memory: "2Gi"
cpu: "500m"
limits:
memory: "4Gi"
cpu: "2"
Security and Compliance
Authentication and Authorization
Enable SSO with your identity provider:
# config.yaml
auth:
enabled: true
provider: oidc
oidc:
issuer: "https://your-idp.okta.com"
client_id: "your-client-id"
client_secret: "your-client-secret"
scopes: ["openid", "profile", "email"]
roles:
admin:
permissions: ["*"]
developer:
permissions: ["tasks.create", "tasks.read", "skills.use", "config.read"]
viewer:
permissions: ["tasks.read", "config.read"]
Audit Logging
Every action in OpenClaw can be logged for compliance:
# config.yaml
audit:
enabled: true
log_file: /var/log/openclaw/audit.log
events:
- task.created
- task.completed
- skill.installed
- config.changed
- auth.login
- auth.failed
format: json
Audit logs integrate with SIEM systems (Splunk, Elastic, Datadog) via standard log forwarding.
Network Security
Isolate OpenClaw from production systems:
- Run in a dedicated network segment or VLAN
- Use firewall rules to restrict outbound connections
- Route LLM API calls through a proxy for monitoring
- Block access to production databases from the OpenClaw network
# Docker network isolation
networks:
openclaw-net:
driver: bridge
internal: false
production:
external: true
# OpenClaw containers are NOT connected to this network
Data Protection
- All data stays on your infrastructure
- API keys are encrypted at rest
- Conversation history is stored locally and can be auto-purged
- No telemetry is sent when
OPENCLAW_DISABLE_TELEMETRY=true
Compliance Considerations
| Framework | OpenClaw Support | |-----------|-----------------| | SOC 2 | Self-hosted meets data residency requirements; audit logging supports controls | | GDPR | Data stays on your infrastructure; configure auto-deletion of conversation history | | HIPAA | Use per-user instances with encrypted volumes; restrict LLM providers to HIPAA-compliant options | | ISO 27001 | Audit logging, RBAC, and network isolation support certification requirements |
Team Management
Onboarding New Team Members
Create a standardized setup script:
#!/bin/bash
# onboard-user.sh
USER_EMAIL=$1
# Create user in OpenClaw
claw admin user create --email "$USER_EMAIL" --role developer
# Set up their workspace
claw admin workspace create --user "$USER_EMAIL" \
--template "standard-dev"
echo "User $USER_EMAIL onboarded. They can log in via SSO."
Shared Skills and Configuration
Maintain a team skill registry:
# team-skills.yaml
required_skills:
- name: git-helper
version: ">=2.0.0"
- name: jira-integration
version: "latest"
- name: code-reviewer
version: ">=1.5.0"
team_config:
model:
provider: anthropic
default_model: claude-sonnet-4-20250514
permissions:
file_access: ["~/projects/**"]
network_access: ["github.com", "jira.company.com"]
Deploy team configuration:
claw admin config push --file team-skills.yaml --target all-users
Usage Monitoring
Track team usage and costs:
# View usage by user
claw admin usage --period 30d --group-by user
# View usage by skill
claw admin usage --period 30d --group-by skill
# Export for billing
claw admin usage --period 30d --format csv > usage-report.csv
Scaling Strategies
Horizontal Scaling
For teams over 50 users, run multiple OpenClaw instances behind a load balancer:
services:
openclaw-1:
image: ghcr.io/openclaw/openclaw:latest
# ... config
openclaw-2:
image: ghcr.io/openclaw/openclaw:latest
# ... config
haproxy:
image: haproxy:latest
ports:
- "443:443"
volumes:
- ./haproxy.cfg:/usr/local/etc/haproxy/haproxy.cfg
LLM Provider Management
Spread API usage across providers to avoid rate limits and optimize costs:
# config.yaml
model:
providers:
- name: anthropic
api_key: "${ANTHROPIC_KEY}"
weight: 60 # 60% of requests
- name: openai
api_key: "${OPENAI_KEY}"
weight: 30 # 30% of requests
- name: ollama
url: "http://ollama:11434"
weight: 10 # 10% for local, non-sensitive tasks
Caching
Enable response caching for common queries:
# config.yaml
cache:
enabled: true
backend: redis
redis_url: "redis://redis:6379"
ttl: 3600
max_size: "1GB"
Cost Analysis
| Component | 10-Person Team | 50-Person Team | 100-Person Team | |-----------|---------------|----------------|-----------------| | Infrastructure | $20-50/mo | $100-300/mo | $300-800/mo | | LLM API (avg) | $200-500/mo | $1,000-2,500/mo | $2,000-5,000/mo | | Total | $220-550/mo | $1,100-2,800/mo | $2,300-5,800/mo | | Per user | $22-55/mo | $22-56/mo | $23-58/mo |
Compare this to commercial alternatives that charge $30-100+ per user per month with less flexibility.
Getting Started
- Follow our self-hosting guide for initial deployment
- Configure SSO with your identity provider
- Set up audit logging and monitoring
- Deploy team skills and configuration
- Onboard your first users
Further Reading
- Self-Hosting OpenClaw: Docker Compose + Security Hardening — Detailed deployment and hardening walkthrough
- Is OpenClaw Safe? A Complete Security Guide — Understanding the security model
- OpenClaw API Tutorial — Build custom integrations for your team's workflows
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