
OpenClaw Security Compliance Checklist: The Complete 2026 Guide to Hardening Your AI Agent Infrastructure
OpenClaw has changed how businesses automate workflows. It connects APIs, handles browser actions, and runs internal tools without constant human input. But here’s the thing: most teams rush to deploy it without thinking about security first. That’s a problem.
AI agents like OpenClaw don’t behave like traditional software. They work with human-level permissions. They make decisions on their own. They process content from sources you might not fully trust. And they often sit outside your normal security tools’ view.
This checklist gives you everything you need to lock down OpenClaw before something goes wrong. We’ll cover gateway hardening, tool sandboxing, credential management, network isolation, and audit logging. Whether you’re a solo developer or a CISO at a large company, you’ll find actionable steps here. No fluff. No vague advice. Just the controls that actually matter in 2026.
Understanding Why OpenClaw Security Matters More Than You Think
OpenClaw isn’t just another tool in your stack. It’s an autonomous agent that can read, write, and execute actions across your entire infrastructure. That’s powerful. It’s also risky if you don’t set proper boundaries.
The Unique Security Challenge of AI Agent Assistants
Traditional enterprise security assumes humans make decisions. Firewalls, access controls, and monitoring tools all expect a person to be in the loop. OpenClaw breaks that assumption completely.
Consider what happens when you deploy an agent:
- It operates with your permissions. Whatever access you grant, it uses. No questions asked.
- It processes untrusted input as commands. A prompt injection could turn helpful automation into a security nightmare.
- It runs outside typical security visibility. Your SIEM might not see what it’s doing.
- It can chain actions together. One small permission gap becomes a pathway to bigger problems.
The CIS Critical Security Controls put asset inventory at the foundation of all other controls. Yet many organizations don’t even know where their OpenClaw instances are running or what they’re connected to.
What Went Wrong: The January 2026 CVE
In January 2026, security researchers discovered a 1-click RCE vulnerability in OpenClaw. An AI pentester found it. Think about that for a second. AI found a critical flaw in an AI agent platform.
The vulnerability allowed attackers to execute arbitrary code with a single malicious input. Organizations that hadn’t followed basic hardening practices were exposed. Those who had proper sandboxing and tool restrictions in place? They weathered it much better.
This wasn’t a theoretical risk. It was real. And it showed why you can’t treat OpenClaw security as an afterthought.
The Trust Model You Need to Understand
OpenClaw uses what the documentation calls a “scope first” personal assistant security model. The gateway and nodes have specific trust relationships that you need to map before deployment.
Here’s the trust boundary matrix you should have in your head:
| Component | Trust Level | Risk Category | Your Control |
|---|---|---|---|
| Gateway | High | Identity, Execution | Full |
| Remote Nodes | Medium | Execution, Data | Partial |
| External Tools | Low | Data, Execution | Limited |
| Channel Inputs | Untrusted | Prompt Injection | Filter Only |
Understanding these boundaries shapes every security decision you’ll make. Don’t skip this mental model.
Gateway Hardening: Your First Line of Defense
The gateway is where everything connects. It handles authentication, routes requests, and controls what the agent can access. If the gateway is weak, nothing else you do matters much.
Local vs. Remote Gateway Modes
OpenClaw lets you run the gateway in different modes. Each has security tradeoffs you need to understand.
Local mode with loopback binding is the most secure option. Here’s what that configuration looks like:
gateway: {
mode: "local",
bind: "loopback",
auth: { mode: "token", token: "replace-with-long-random-token" },
}
When you bind to loopback, the gateway only accepts connections from the local machine. External attackers can’t reach it directly. This is your starting point for any serious deployment.
Why does this matter? Many community members expose their gateways to the internet without realizing it. They follow tutorials that skip security basics. Then they wonder why their agent starts behaving strangely.
Token Authentication Best Practices
The default configuration includes a placeholder token. Never use it in production. Generate a cryptographically strong random token instead.
Good token practices include:
- Length: At least 32 characters. Longer is better.
- Randomness: Use a secure random generator, not a keyboard mash.
- Rotation: Change tokens regularly, especially after team changes.
- Storage: Keep tokens in environment variables or secrets managers, not config files in git.
Here’s a quick way to generate a proper token on Linux or Mac:
openssl rand -base64 48
That gives you 48 bytes of randomness encoded in base64. Good enough for most deployments.
Control UI Security Over HTTP
OpenClaw’s control UI is convenient. It’s also a target. If you’re exposing it over HTTP, you’re making life easy for attackers.
Always use HTTPS. No exceptions. Even for internal deployments. Even for “just testing.” Habits matter.
The documentation specifically warns about insecure flags. Here’s what you should never do in production:
- Running with HTTP when HTTPS is available
- Disabling certificate verification
- Using development mode flags
- Binding to 0.0.0.0 without firewall rules
Reverse Proxy Configuration
A reverse proxy adds a security layer between the internet and your gateway. Nginx, Caddy, and Traefik are all solid choices.
Key settings for your reverse proxy:
| Setting | Recommended Value | Why It Matters |
|---|---|---|
| TLS Version | 1.2 minimum, prefer 1.3 | Older versions have known weaknesses |
| HSTS | Enabled, long max-age | Prevents downgrade attacks |
| Rate Limiting | Yes, per IP | Slows brute force attempts |
| Request Size Limits | Reasonable for your use case | Blocks oversized payloads |
HSTS headers tell browsers to always use HTTPS. Once set, browsers won’t even try HTTP. That’s one less attack vector.
Origin Validation and CORS
If your gateway accepts requests from web browsers, you need proper origin controls. Without them, malicious sites could make requests on behalf of authenticated users.
Set strict CORS policies. Only allow origins you actually control. Don’t use wildcards in production.
Tool Access Controls and Sandboxing: Limiting What Agents Can Do
OpenClaw’s power comes from tools. But every tool you enable is a potential attack surface. The principle of least privilege applies here more than anywhere else.
The Tool Profile System
OpenClaw organizes tools into profiles. The messaging profile, for example, is designed for chat-based assistants with limited capabilities.
Here’s a hardened tool configuration:
tools: {
profile: "messaging",
deny: ["group:automation", "group:runtime", "group:fs", "sessions_spawn", "sessions_send"],
fs: { workspaceOnly: true },
exec: { security: "deny", ask: "always" },
elevated: { enabled: false },
}
Let’s break down what each setting does:
- profile: “messaging” starts with a minimal set of tools
- deny list blocks entire groups and specific dangerous tools
- fs: workspaceOnly restricts file access to a specific directory
- exec: security: “deny” blocks arbitrary code execution
- elevated: enabled: false prevents privilege escalation
Understanding Tool Groups
Tool groups organize related capabilities. Blocking a group is easier than listing every individual tool.
| Group Name | What It Contains | Risk Level | Default Recommendation |
|---|---|---|---|
| group:automation | Workflow automation tools | High | Deny unless needed |
| group:runtime | Code execution capabilities | Critical | Deny in most cases |
| group:fs | File system access | High | Restrict to workspace |
| group:network | Network requests | Medium | Allow with limits |
The documentation lists specific dangerous tools to always deny:
- sessions_spawn: Creates new agent sessions
- sessions_send: Sends messages as other sessions
- system.run: Executes arbitrary system commands
Sandbox Configuration with Docker
Docker is the default sandbox backend for OpenClaw. It creates isolation between the agent and your host system.
The sandbox setting lives under agents.defaults.sandbox. When enabled properly, even if an attacker compromises the agent, they’re stuck inside a container.
Key sandbox hardening steps:
- Use read-only container filesystems where possible
- Drop all capabilities except those strictly needed
- Run containers as non-root users
- Limit memory and CPU to prevent resource exhaustion
- Use separate networks for sandbox containers
Here’s an example Docker security configuration:
docker run \ --read-only \ --cap-drop=ALL \ --user 1000:1000 \ --memory=512m \ --cpus=0.5 \ --network=sandbox-net \ openclaw-agent
The “Ask Always” Pattern
For tools you can’t completely block, use the “ask: always” pattern. This requires human confirmation before the agent executes potentially dangerous actions.
It’s not perfect. Someone could click “yes” without thinking. But it adds a checkpoint that can catch obvious problems.
Use this pattern for:
- File modifications outside the workspace
- Any network requests to internal systems
- Actions that affect other users
- Anything involving credentials or secrets
Dynamic Skills and Remote Nodes
OpenClaw supports dynamic skills through watchers and remote nodes. These extend the agent’s capabilities at runtime. They also extend its attack surface.
Before enabling dynamic skills:
- Verify the source of skill definitions
- Use allowlists instead of blocklists
- Monitor for unexpected skill additions
- Test new skills in isolation first
Remote nodes add another trust layer. Each node you connect could become a pathway into your infrastructure. Treat node connections like you’d treat SSH access to a server.
Channel and Session Security: Controlling Who Talks to Your Agent
Channels connect OpenClaw to the outside world. Slack, WhatsApp, email, and custom integrations all count. Each channel brings its own security challenges.
The Shared Slack Workspace Problem
Here’s a scenario that causes real incidents: You deploy OpenClaw to a Slack workspace. Everyone in the company can message it. Some people start testing what it can do. One person figures out they can access files they shouldn’t see.
The OpenClaw documentation calls this out specifically as a “real risk.” Shared workspaces mean shared access unless you add controls.
Mitigation strategies:
- DM scope per channel peer: Keep each user’s session separate
- Require mentions in groups: Agent only responds when explicitly tagged
- DM policy with pairing: Users must pair their account before chatting
Here’s the configuration that helps:
session: {
dmScope: "per-channel-peer",
},
channels: {
whatsapp: { dmPolicy: "pairing", groups: { "*": { requireMention: true } } },
}
Session Scope and Memory Isolation
Session scope controls what context the agent remembers and who can access it. Get this wrong, and one user might see another user’s private conversations.
The per-channel-peer scope creates isolation. Each user on each channel gets their own session. Their history stays private. Their context doesn’t leak.
Compare the options:
| Scope Setting | Behavior | Privacy Level | Use Case |
|---|---|---|---|
| global | Everyone shares one session | None | Public information bots only |
| per-channel | Each channel has one session | Low | Team channels with shared context |
| per-channel-peer | Each user per channel isolated | High | Personal assistants, DMs |
| per-peer | User isolated across channels | High | Multi-channel personal use |
For most enterprise deployments, per-channel-peer is the right choice. It balances usability with privacy.
DM Policies and Pairing
DM policies control who can start a direct message conversation with your agent. Without restrictions, anyone who finds your agent can start chatting.
The pairing policy requires a verification step. Users must confirm their identity before the agent will respond fully. This prevents casual abuse and creates an audit trail of who’s actually using the system.
Group Mention Requirements
In group channels, the requireMention setting is your friend. When enabled, the agent stays quiet unless someone specifically mentions it.
This prevents accidental activation. It also reduces the prompt injection surface. Attackers can’t just post malicious content and hope the agent picks it up. They have to get someone to tag the agent, which adds friction.
Shared Inbox Quick Rule
If multiple people share access to an inbox or channel that connects to OpenClaw, you need extra rules. The shared inbox pattern requires:
- Clear naming conventions for who’s using the agent
- Audit logging of all interactions
- Session isolation even within the shared space
- Limits on what actions can be triggered from shared contexts
Document the rules. Train the team. Review the logs regularly.
Credential Management: Where Your Secrets Live and How to Protect Them
OpenClaw needs credentials to connect to external services. API keys, OAuth tokens, database passwords. How you store and handle these determines a lot about your security posture.
The Credential Storage Map
The documentation provides a credential storage map. Know where every secret lives in your deployment.
Common storage locations and their risks:
| Storage Location | Risk Level | Access Control | Recommendation |
|---|---|---|---|
| Environment variables | Medium | Process-level | Good for simple deployments |
| Config files | High | File system | Encrypt at rest, restrict access |
| Secrets manager (Vault, AWS SM) | Low | Centralized, audited | Best for production |
| In-agent memory | High | Runtime only | Avoid storing secrets here |
Never Commit Secrets to Git
It sounds obvious. People still do it. Every week, someone pushes an API key to a public repo. Sometimes it’s OpenClaw credentials.
Set up pre-commit hooks that scan for secrets. Tools like git-secrets, truffleHog, and detect-secrets catch most accidents before they become incidents.
Secret Rotation Procedures
Credentials should have expiration dates. When they expire, rotate them. Don’t wait for a breach to force the issue.
A simple rotation schedule:
- API tokens: Every 90 days
- Service account passwords: Every 90 days
- Gateway tokens: Every 30 days
- OAuth refresh tokens: Per provider recommendations
Automate rotation where possible. Manual processes get skipped when people are busy.
Least Privilege for Credentials
Every credential your agent uses should have minimum necessary permissions. If the agent only needs to read from an API, don’t give it write access. If it only needs one endpoint, don’t give it full API access.
This limits damage when credentials leak. And credentials eventually leak.
Credential Injection vs. Static Configuration
Two approaches to getting credentials into OpenClaw:
Static configuration puts credentials in files or environment variables when you deploy. Simple, but credentials sit on disk.
Credential injection pulls secrets from a manager at runtime. More complex, but credentials never touch disk and can be rotated without redeployment.
For production systems handling sensitive data, injection through a secrets manager is worth the setup complexity.
File System Security: Controlling What Your Agent Can Read and Write
File system access is one of the riskiest capabilities you can give an agent. It can read sensitive data, write malicious files, or delete important information. Lock it down hard.
The Workspace-Only Restriction
The fs: { workspaceOnly: true } setting is your primary file system control. When enabled, the agent can only access files in its designated workspace directory.
This single setting prevents:
- Reading /etc/passwd and other system files
- Accessing other users’ home directories
- Writing to system locations
- Traversing up the directory tree
Always enable workspace-only mode unless you have a specific, documented reason not to.
Workspace Directory Permissions
Even within the workspace, set proper permissions. The agent shouldn’t run as root. The workspace directory should be owned by the agent’s user, with no world-readable or world-writable permissions.
Example permission setup:
mkdir -p /opt/openclaw/workspace chown openclaw:openclaw /opt/openclaw/workspace chmod 750 /opt/openclaw/workspace
Local Session Logs on Disk
OpenClaw writes session logs to disk by default. These logs contain conversation history, which might include sensitive information users share with the agent.
Secure your log storage:
- Encrypt at rest: Use disk encryption or encrypted filesystems
- Restrict access: Only the agent process should read logs
- Rotate and archive: Don’t let logs grow forever
- Consider retention: How long do you really need old conversations?
Path Traversal Prevention
Even with workspace restrictions, validate paths. A clever attacker might try sequences like ../../sensitive_file to escape the workspace.
OpenClaw’s built-in protections handle most cases. But defense in depth means you also:
- Validate paths at the application layer
- Use chroot or containers for additional isolation
- Monitor for unusual file access patterns
Temporary File Handling
Agents often create temporary files. These can leak data if not handled properly.
Good temp file practices:
- Use dedicated temp directories inside the workspace
- Clean up temp files after use
- Set restrictive permissions on temp directories
- Don’t store secrets in temp files
Network Security and Isolation: Limiting Agent Reach
Network access extends your agent’s capabilities. It also extends the blast radius if something goes wrong. Proper network controls are a must.
Firewall Configuration Basics
Your OpenClaw host needs firewall rules that limit both inbound and outbound traffic. Don’t rely on cloud provider defaults.
Inbound rules:
- Allow only the ports you actually use
- Restrict source IPs where possible
- Use different rules for management and production traffic
Outbound rules:
- Allow connections to known, needed services
- Block or alert on unexpected destinations
- Consider using allowlists instead of blocklists
Example iptables rules for a locked-down OpenClaw host:
# Allow established connections iptables -A INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT # Allow SSH from management network only iptables -A INPUT -p tcp --dport 22 -s 10.0.0.0/8 -j ACCEPT # Allow HTTPS to gateway iptables -A INPUT -p tcp --dport 443 -j ACCEPT # Drop everything else inbound iptables -A INPUT -j DROP # Outbound: allow specific destinations iptables -A OUTPUT -d api.openai.com -j ACCEPT iptables -A OUTPUT -d your-internal-api.company.com -j ACCEPT # ... add other needed destinations
Network Segmentation
Don’t put your OpenClaw instance on the same network as your production databases. Use network segmentation to create boundaries.
A typical segmented architecture:
- DMZ: Public-facing components, gateway reverse proxy
- Agent network: OpenClaw instances, sandbox containers
- Internal network: APIs the agent needs to reach
- Data network: Databases, storage systems
Firewalls between segments control which traffic can flow. The agent network might reach the internal API network but not the data network directly.
SSH Security for Agent Hosts
If you’re running OpenClaw on cloud VMs, SSH is probably your management access. Lock it down.
Essential SSH hardening:
- Disable password authentication: Keys only
- Disable root login: Use sudo instead
- Change the default port: Reduces automated scanning noise
- Use fail2ban: Blocks brute force attempts
- Limit access by IP: Only your management network
Your sshd_config should include:
PasswordAuthentication no PermitRootLogin no Port 2222 # Or another non-standard port AllowUsers openclaw-admin@10.0.0.0/8
Fail2ban Configuration
Fail2ban watches logs for failed authentication attempts and blocks repeat offenders. It’s simple to set up and stops most automated attacks.
A basic fail2ban jail for SSH:
[sshd] enabled = true port = 2222 filter = sshd logpath = /var/log/auth.log maxretry = 3 bantime = 3600
Consider adding jails for your OpenClaw gateway too. Watch for failed authentication attempts there as well.
API Egress Controls
Your agent makes API calls to external services. Control and monitor these.
Options for egress control:
- Proxy all outbound traffic: Route through a monitored proxy
- DNS filtering: Only resolve allowed domains
- Certificate pinning: For critical connections
- Request logging: Track what the agent reaches out to
When something weird happens, you want to know exactly what external services the agent contacted.
Audit Logging and Monitoring: Seeing What Your Agent Does
You can’t secure what you can’t see. OpenClaw needs comprehensive logging so you can detect problems and investigate incidents.
What the Security Audit Checks
OpenClaw includes a built-in security audit feature. Running it gives you a quick health check of your configuration.
The audit examines:
- Gateway binding and authentication settings
- Tool access permissions and denials
- Session scope configuration
- File system restrictions
- Dangerous flag usage
- Credential storage locations
Run the audit regularly. Make it part of your deployment pipeline. Treat failures as blocking issues, not warnings to ignore.
Critical Events to Log
Not all events matter equally. Focus your logging on high-risk actions:
| Event Type | Priority | Details to Capture |
|---|---|---|
| Authentication attempts | Critical | Success/failure, source IP, user identity |
| Tool execution | High | Tool name, parameters, user, result |
| File operations | High | Path, operation type, user |
| Configuration changes | Critical | What changed, who changed it, old vs new |
| Session creation | Medium | Channel, user, scope |
| External API calls | Medium | Destination, payload size, response code |
Building a Security Dashboard
One experienced user built a dashboard skill that monitors security status and alerts on problems. That’s a smart approach.
Your dashboard should track:
- Active sessions: Who’s using the agent right now?
- Failed authentications: Spike might indicate attack
- Tool usage patterns: Unusual tools being called?
- Error rates: Sudden increases signal problems
- Configuration drift: Did settings change unexpectedly?
Set up alerts for anomalies. Don’t just collect data. Make it actionable.
Log Storage and Retention
Logs take space. But they’re also your only record of what happened during an incident. Balance cost with usefulness.
Recommended retention periods:
- Security events: 1 year minimum, longer if compliance requires
- General operations: 90 days
- Debug logs: 7 days (they’re verbose)
Ship logs to a central location. Don’t rely only on local storage. An attacker who compromises your host will delete local logs.
SIEM Integration
Your existing SIEM probably doesn’t understand OpenClaw events out of the box. You’ll need to:
- Define a log format that your SIEM can parse
- Create custom detection rules for agent-specific threats
- Build correlation rules that connect agent events to other infrastructure events
- Test that alerts actually fire when they should
Common SIEM detection rules for OpenClaw:
- Multiple failed gateway authentications from same IP
- Execution of denied tools (attempt detection)
- File access outside workspace (if possible despite restrictions)
- Unusual session creation patterns
- Configuration changes outside maintenance windows
No Audit Log for High-Risk Actions
The documentation calls out a common mistake: deploying without audit logging for high-risk actions. If your agent can execute code, modify files, or access sensitive systems, and you don’t log those actions, you’re flying blind.
Check your logging coverage. Run through a list of dangerous operations. Confirm each one creates an auditable log entry. Fix gaps before they become problems.
Prompt Injection Defense: Protecting Against Malicious Input
Prompt injection is the SQL injection of AI systems. Attackers craft inputs that make your agent do things it shouldn’t. Defending against it requires multiple layers.
Understanding the Threat
OpenClaw processes user input and converts it into actions. If an attacker can slip instructions into that input, they can hijack the agent.
Example attack scenarios:
- User pastes content containing hidden instructions
- Agent reads a webpage with malicious prompt text
- Email forwarded to agent contains attack payload
- API response includes instructions the agent follows
The attack surface is anywhere untrusted content enters the system.
Input Validation and Filtering
First line of defense: filter known malicious patterns before they reach the agent.
Patterns to watch for:
- Phrases like “ignore previous instructions”
- Role-play requests that change the agent’s behavior
- Encoded or obfuscated commands
- Unusual control characters or formatting
This isn’t foolproof. Attackers constantly find new bypass techniques. But it catches unsophisticated attempts.
Output Validation
Check what the agent wants to do before it does it. If the agent suddenly wants to execute a command or access a file it’s never touched before, pause and verify.
The “ask: always” pattern we discussed earlier helps here. Human confirmation catches actions that don’t match expected behavior.
Context Isolation
The context visibility model determines what information the agent can see. Limit context to reduce what an attacker can extract through prompt injection.
Principles of context isolation:
- Don’t include sensitive data in system prompts
- Clear context regularly to prevent accumulation
- Use session scopes to prevent cross-user information leakage
- Be careful with retrieved content from external sources
Monitoring for Injection Attempts
Your logs should help you spot prompt injection attempts. Look for:
- Unusual command sequences
- Actions that don’t match the conversation
- Repeated attempts to access restricted tools
- Conversations that suddenly change topic to sensitive areas
Some teams use a second AI to review conversations for signs of manipulation. It’s an emerging defense technique worth watching.
The Complete Security Audit Checklist: Your OpenClaw Compliance Guide
Here’s the comprehensive checklist for auditing your OpenClaw deployment. Go through each item. Document your status. Fix gaps before they become incidents.
Gateway Security Checklist
- ☐ Gateway bound to loopback or specific interface only
- ☐ Strong, unique authentication token configured
- ☐ HTTPS enabled with valid certificates
- ☐ HSTS headers configured
- ☐ Reverse proxy in front of gateway
- ☐ Rate limiting enabled
- ☐ No insecure or dangerous flags in use
- ☐ Origin validation configured for web access
Tool Access Checklist
- ☐ Tool profile matches your actual needs
- ☐ Dangerous tool groups denied by default
- ☐ Specific high-risk tools explicitly blocked
- ☐ File system restricted to workspace only
- ☐ Code execution disabled or requires confirmation
- ☐ Elevated privileges disabled
- ☐ Dynamic skill loading controlled
- ☐ Sandbox enabled with proper isolation
Channel and Session Checklist
- ☐ Session scope set to per-channel-peer or stricter
- ☐ DM policies require pairing or verification
- ☐ Group channels require explicit mention
- ☐ Shared inbox rules documented and enforced
- ☐ Channel-specific risks assessed and mitigated
Credential Management Checklist
- ☐ No credentials in source control
- ☐ Secrets stored in appropriate secrets manager
- ☐ Credential rotation schedule defined and followed
- ☐ Least privilege applied to all credentials
- ☐ Credential storage map documented
- ☐ Pre-commit hooks scan for secrets
Network Security Checklist
- ☐ Firewall rules limit inbound access
- ☐ Outbound traffic restricted or monitored
- ☐ Network segmentation in place
- ☐ SSH hardened with keys only, fail2ban active
- ☐ API egress controlled and logged
- ☐ DNS filtering considered
Logging and Monitoring Checklist
- ☐ Security audit runs regularly and passes
- ☐ Critical events logged with full details
- ☐ Logs shipped to central location
- ☐ Retention periods defined and enforced
- ☐ SIEM integration configured
- ☐ Alert rules defined for common attacks
- ☐ Dashboard tracks security metrics
Prompt Injection Defense Checklist
- ☐ Input filtering for known attack patterns
- ☐ Output validation before dangerous actions
- ☐ Context isolation properly configured
- ☐ Human confirmation for high-risk operations
- ☐ Monitoring for injection attempt patterns
Documentation and Process Checklist
- ☐ All agents and connections documented
- ☐ Trust boundaries mapped and reviewed
- ☐ Incident response plan includes agent scenarios
- ☐ Team trained on agent-specific security
- ☐ Regular security reviews scheduled
Hardened Baseline Configuration
Here’s a complete hardened configuration you can use as a starting point:
{
gateway: {
mode: "local",
bind: "loopback",
auth: {
mode: "token",
token: "REPLACE-WITH-GENERATED-TOKEN"
},
},
session: {
dmScope: "per-channel-peer",
},
tools: {
profile: "messaging",
deny: [
"group:automation",
"group:runtime",
"group:fs",
"sessions_spawn",
"sessions_send",
"system.run"
],
fs: { workspaceOnly: true },
exec: { security: "deny", ask: "always" },
elevated: { enabled: false },
},
channels: {
whatsapp: {
dmPolicy: "pairing",
groups: { "*": { requireMention: true } }
},
slack: {
dmPolicy: "pairing",
groups: { "*": { requireMention: true } }
}
},
logging: {
level: "info",
security: true,
audit: true
}
}
Start from this baseline. Add capabilities only as needed. Document why you enable each feature.
Enterprise Deployment Patterns: Scaling Security Across Your Organization
Individual agent security is one thing. Deploying OpenClaw across an entire company brings additional challenges.
The Company-Shared Agent Pattern
OpenClaw documentation describes a “company-shared agent” as an acceptable pattern. Multiple users share access to one agent deployment. This works if you follow the right rules.
Requirements for safe shared agents:
- Session isolation: Each user gets separate context
- Permission boundaries: Agent access matches lowest common denominator
- Audit trails: Every action tied to a specific user
- Clear ownership: Someone is responsible for the agent’s security
Don’t share agents across trust boundaries. A customer-facing agent shouldn’t have the same access as an internal team agent.
Multi-Tenant Considerations
If you’re building a platform that offers OpenClaw to multiple customers, isolation becomes critical.
Each tenant needs:
- Separate agent instances or strong logical isolation
- Dedicated credentials and secrets
- Independent logging and monitoring
- No ability to affect other tenants’ agents
Container orchestration platforms like Kubernetes can help manage this. But configuration is tricky. Test isolation thoroughly before trusting it.
CI/CD Pipeline Integration
Security checks should happen automatically in your deployment pipeline.
Add these gates:
- Pre-commit: Scan for secrets, validate configuration format
- PR review: Security team reviews configuration changes
- Build: Run security audit, check dependencies
- Deploy: Verify environment matches expected security state
- Post-deploy: Run smoke tests, confirm logging works
Dependency Lock and Supply Chain Security
The documentation mentions “published package dependency lock.” This matters for supply chain security.
Lock your dependencies to specific versions. Don’t auto-update without review. Check for known vulnerabilities in your dependency tree.
Tools like npm audit, pip-audit, and Snyk can automate vulnerability scanning. Run them in CI. Block deploys when critical vulnerabilities are found.
Incident Response Planning
Your incident response plan probably doesn’t cover AI agents yet. Update it.
Agent-specific scenarios to plan for:
- Compromised agent credentials: How do you revoke and rotate?
- Prompt injection attack: How do you detect and contain?
- Unauthorized data access: How do you investigate what the agent saw?
- Agent acting strangely: How do you safely shut it down?
Run tabletop exercises. Practice your response before you need it.
Wrapping Up: Your Path to Secure OpenClaw Deployment
OpenClaw is powerful. It can transform how your organization works. But that power comes with responsibility. The checklist in this guide gives you a clear path to secure deployment.
Start with the basics: gateway hardening, tool restrictions, and session isolation. Then layer on logging, monitoring, and network controls. Review regularly. Update as threats evolve.
Security isn’t a one-time task. It’s an ongoing practice. The organizations that deploy OpenClaw successfully are the ones that treat security as a feature, not an afterthought.
Frequently Asked Questions About OpenClaw Security Compliance Checklist
|
What is the OpenClaw Security Compliance Checklist and why do I need it?
The OpenClaw Security Compliance Checklist is a comprehensive guide to securing your AI agent deployment. You need it because OpenClaw operates with human-level permissions and can execute actions autonomously. Without proper security controls, your agent becomes a risk to your entire infrastructure. The checklist covers gateway hardening, tool access restrictions, credential management, network isolation, and audit logging. Following it helps you prevent data breaches, unauthorized access, and prompt injection attacks. |
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Who should use this OpenClaw Security Compliance Checklist?
This checklist is for anyone deploying or managing OpenClaw installations. That includes DevOps engineers setting up infrastructure, security teams auditing deployments, CISOs building policies for AI agent use, and developers integrating OpenClaw into applications. Even solo developers running personal assistants should follow these guidelines. The security principles apply whether you have one agent or hundreds across your organization. |
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When should I run the OpenClaw security audit?
Run the security audit before every production deployment. Also run it after any configuration changes, security updates, or team membership changes. For ongoing operations, schedule weekly automated audits. The audit checks gateway settings, tool permissions, session scope, and credential storage. Treat audit failures as blocking issues that need immediate attention, not warnings to ignore. |
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Where should I store credentials for OpenClaw?
Store credentials in a dedicated secrets manager like HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault. Never store credentials in configuration files checked into version control. Environment variables are acceptable for simple deployments but offer less control. For production systems handling sensitive data, use credential injection at runtime so secrets never touch disk. Rotate credentials every 30 to 90 days depending on sensitivity. |
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How do I protect my OpenClaw agent from prompt injection attacks?
Prompt injection defense requires multiple layers. First, filter inputs for known malicious patterns like “ignore previous instructions.” Second, validate outputs before executing dangerous actions. Third, configure proper context isolation so attackers can’t extract sensitive information. Fourth, use the “ask: always” setting for high-risk operations so humans confirm unusual requests. Finally, monitor logs for signs of injection attempts like unexpected command sequences or sudden topic changes. |
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What tools should I deny in my OpenClaw configuration?
At minimum, deny group:automation, group:runtime, and group:fs unless you specifically need them. Also block sessions_spawn, sessions_send, and system.run. These tools allow code execution, file system access, and session manipulation that attackers can abuse. Start with a restrictive deny list and only enable capabilities as your use case requires. Document why you enable each tool so future auditors understand the business need. |
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How does the session scope setting affect OpenClaw security?
Session scope controls how OpenClaw separates conversations and context between users. The per-channel-peer scope is recommended for most deployments because it isolates each user on each channel. This prevents one user from seeing another’s conversation history or context. Without proper session scope, sensitive information could leak between users in shared workspaces. The global scope should only be used for public information bots with no private data. |
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What network isolation should I have for OpenClaw?
Place OpenClaw in a segmented network separate from production databases and sensitive systems. Use firewalls to restrict both inbound and outbound traffic. Allow only necessary connections. For inbound, limit access to your reverse proxy and management networks. For outbound, consider using allowlists of permitted destinations. Route API calls through a monitored proxy. Enable DNS filtering to prevent connections to unknown domains. Test that your agent can’t reach systems it shouldn’t. |
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Can multiple users safely share one OpenClaw agent?
Yes, but only with proper controls. OpenClaw documentation describes a company-shared agent as an acceptable pattern when you follow specific rules. Each user needs session isolation so their conversations stay private. The agent’s permissions should match the lowest common access level needed. Every action must create an audit trail tied to a specific user. Someone must be responsible for the agent’s ongoing security. Don’t share agents across trust boundaries like internal and customer-facing use cases. |
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How often should I update my OpenClaw Security Compliance Checklist review?
Review your security configuration quarterly at minimum. Review immediately after any security incident, major version update, or significant change to how you use the agent. The threat landscape for AI systems evolves quickly. New attack techniques emerge regularly. What was secure six months ago might have known bypasses today. Subscribe to OpenClaw security announcements. Participate in the community to learn about emerging risks. Treat security as an ongoing practice, not a one-time setup. |