How to Secure Your ClawdBot Deployment

Running an AI agent on your own infrastructure is powerful. It's also a security surface you need to think about seriously. ClawdBot has access to your API keys, potentially your internal tools, and whatever data you feed it.

This guide covers the full security hardening stack: API key management, network policies, rate limiting, secrets handling, and monitoring.

The Threat Model

1. Unauthorized access — Someone finds your endpoint and uses your LLM keys

2. API key theft — Keys leaked through logs or compromised server

3. Prompt injection — Malicious inputs making agents do unintended things

4. Resource exhaustion — Runaway agents burning API credits

5. Data exfiltration — Agent leaking sensitive information

6. Server compromise — Attacker gains host access

1. API Key Management

Rotate keys every 90 days minimum, 30 if serious. Use separate keys per environment. Set spending limits on every LLM provider — a runaway loop can burn hundreds in hours.

2. Network Security

Lock down with UFW, change SSH to non-default port, use IP allowlisting for known team IPs, and configure Fail2Ban.

3. Rate Limiting

Configure nginx rate limiting: 10r/s for general API, 3r/m for auth endpoints. Set agent execution limits in ClawdBot config.

4. Secrets Management

Use Docker Secrets instead of plain .env files. Never log secrets — use info log level in production, never debug.

5. Container Security

Run as non-root (user: "1000:1000"), read-only filesystem, drop all capabilities, limit CPU/memory, use network isolation.

6. Monitoring

Watch for failed auth attempts, unusual API usage spikes, large data transfers. Audit Docker activity for unauthorized exec sessions.

7. Backup Security

Encrypt backups with AES-256 before storing. Store offsite.

8. Update Strategy

Use update scripts with automatic rollback on failed health checks.

Security Checklist

• SSH key auth only, non-default port

• Firewall + Fail2Ban

• HTTPS with valid SSL

• API keys in secrets management

• Rate limiting on all endpoints

• Container running as non-root with resource limits

• Spending limits on LLM providers

• Logs monitored, backups encrypted

For teams that need agents running securely without becoming part-time sysadmins, RunAgents handles all infrastructure security out of the box.

Want security handled for you out of the box? RunAgents gives you managed OpenClaw hosting with task management, team collaboration, and agent debugging built in. Get started free →

Related Guides

• How to Securely Setup and Configure ClawdBot — Deeper dive into API key management, RBAC, and audit logging

• How to Deploy OpenClaw on DigitalOcean — Full deployment walkthrough with production-ready security

• OpenClaw Review 2026 — Honest assessment of OpenClaw strengths and gaps including security

Frequently Asked Questions

Does running ClawdBot in Docker actually isolate it from my host system?

Docker provides process-level isolation, not full VM-level isolation. For stronger security, run the container as non-root, drop all Linux capabilities with cap_drop: ALL, use a read-only filesystem, and enable no-new-privileges. This prevents container escapes and limits blast radius if the agent is compromised.

How do I whitelist only specific tools for my ClawdBot agents?

Configure tool restrictions in your ClawdBot config file (clawdbot.yml). You can enable agent sandboxing with restricted network access (only allowing LLM API domains), block dangerous shell commands, and set filesystem isolation per agent. This prevents agents from executing unintended actions.

Can prompt injection make my ClawdBot agent leak API keys or data?

It's a real risk. Mitigate it by never passing raw user input directly to agents, using info log level (never debug which may expose secrets), storing API keys in Docker Secrets instead of .env files, and setting strict CORS policies. Agent sandboxing with network restrictions also limits what a compromised agent can reach.

How often should I rotate API keys for my ClawdBot deployment?

Rotate every 90 days minimum, and every 30 days for production deployments handling sensitive data. Use separate API keys per environment (dev/staging/prod) and per team member. Always set spending limits on your LLM provider dashboard — a runaway agent loop can burn hundreds of dollars in hours.

What's the best way to monitor my ClawdBot instance for security threats?

Set up Fail2Ban for brute-force protection, monitor Docker logs for unauthorized exec sessions, track API usage for unusual spikes, and alert on failed authentication attempts. Use JSON structured logging with automatic secret redaction. Audit trails for auth events, agent operations, and config changes give you forensic capability.

Is there a managed option that handles ClawdBot security for me?

RunAgents handles infrastructure security, API key management, rate limiting, monitoring, and updates out of the box. For teams that don't want to maintain security configurations themselves, it eliminates the entire sysadmin burden while keeping your agents running securely.