Introduction: Why OpenClaw Security Audits Matter More Than Ever

AI agents are getting smarter. They can now touch your files, run commands, and access your accounts. That’s powerful stuff. But it also opens up serious security risks that most people don’t think about until something goes wrong.

OpenClaw has become a popular choice for running AI agents. It connects language models to real tools and real data. The problem? A misconfigured OpenClaw instance can expose your entire system to attacks.

This guide breaks down everything you need to know about running an OpenClaw security audit. We’ll cover the built-in audit command, what it actually checks, and how to fix the issues it finds. You’ll learn about real vulnerabilities that have been discovered and how to protect yourself.

By the end, you’ll understand exactly what happens when an AI agent can touch your files, tools, and accounts. More importantly, you’ll know how to lock things down properly.

Understanding OpenClaw and Why Security Auditing Is Different Here

What Makes OpenClaw Security Unique

OpenClaw isn’t just another piece of software. It’s a runtime that connects AI models to your actual system. Traditional security audits focus on things like SQL injection or cross-site scripting. OpenClaw security audits need to think differently.

The question isn’t just “can someone hack into my system?” The real question is: Who can steer this runtime, and what can they make it do?

When an AI agent has access to tools, it can:

• Read and write files on your system
• Execute shell commands
• Send messages through communication channels
• Access your accounts and credentials
• Spawn new sessions and processes

Each of these capabilities is a potential attack vector. A malicious prompt could trick the AI into doing things you never intended. A misconfigured permission could expose sensitive data to the wrong people.

The Trust Boundary Problem

OpenClaw operates on what they call a “personal assistant security model.” The idea is that you trust the agent like you’d trust an assistant. But that trust has boundaries.

Think about it this way. You might let an assistant read your calendar. Would you let them read your bank statements? Probably not without asking first.

OpenClaw’s security model tries to enforce these boundaries. But it only works if you configure it correctly. That’s where security audits come in.

The official documentation states there’s no perfectly secure setup. That’s honest, and it’s also why regular auditing is so important. Security is a process, not a destination.

What the “Agents of Chaos” Study Found

Recent research has documented some scary findings about autonomous agents. The “Agents of Chaos” study found several categories of problems:

• Unauthorized compliance – Agents doing things they shouldn’t when asked the right way
• Sensitive data disclosure – Leaking information through chat or logs
• Destructive system actions – Deleting files, breaking configurations
• Denial-of-service conditions – Agents consuming resources until systems crash
• Identity spoofing – Agents pretending to be someone else
• Partial system takeover – Attackers gaining control through the agent

These aren’t theoretical problems. They’ve been demonstrated in agents with persistent memory, shell execution, and live communication channels. Sound familiar? That’s exactly what OpenClaw provides.

Running Your First OpenClaw Security Audit

The Basic Audit Command

OpenClaw includes a built-in security audit tool. Running it is straightforward:

openclaw security audit

That’s it. The command scans your local OpenClaw configuration and state files. It looks for common security misconfigurations. No network access needed for the basic scan. Nothing gets sent anywhere.

The audit runs entirely against your local config. It doesn’t require any additional dependencies beyond what OpenClaw needs to run normally.

Understanding the Output

When you run the audit, you’ll see a summary and a list of findings. Each finding has a severity level:

Don’t ignore the lower severity items. An attacker often chains multiple low-severity issues together to create a serious breach.

Going Deeper with Extended Checks

The basic audit is fast but limited. For a thorough scan, use the deep flag:

openclaw security audit --deep

This runs 78 different checks against your instance. It takes longer but catches more issues. The deep scan looks at:

• File permissions across all configuration files
• Group policies and access controls
• Token configurations and credential storage
• Channel settings and DM policies
• Tool profiles and execution permissions
• Session scoping and isolation
• Gateway bindings and authentication

Running the deep scan regularly should be part of your security routine. Monthly is good. Weekly is better if your configuration changes often.

Automatic Remediation with the Fix Flag

Found a bunch of issues? OpenClaw can fix some of them automatically:

openclaw security audit --fix

You can combine flags for a deep scan with automatic fixes:

openclaw security audit --deep --fix

The --fix flag handles certain categories of issues automatically:

• File permission problems
• Open group policies
• Some token configuration issues
• Basic gateway binding problems

But it can’t fix everything. Some findings require manual intervention. We’ll cover those later in this guide.

The 78 Security Checks Explained

Gateway Configuration Checks

The gateway is how OpenClaw communicates. Misconfigure it, and you’ve got a problem. The audit checks several gateway-related settings.

Mode setting – The gateway can run in local or networked mode. Local mode is safer because it only accepts connections from your machine. Networked mode opens up remote access. The audit flags networked mode as a potential risk.

Bind address – This controls which network interfaces the gateway listens on. The safest option is “loopback” which limits connections to localhost. Binding to “0.0.0.0” means anyone on your network could potentially connect.

A secure gateway configuration looks like this:

gateway: { mode: "local", bind: "loopback", auth: { mode: "token", token: "replace-with-long-random-token" } }

Authentication mode – The audit checks how connections are authenticated. Token-based auth is the minimum. No authentication is a critical finding. The token itself should be long and random. Don’t use simple passwords.

Session Scoping and Isolation

Sessions in OpenClaw determine who can see what. The dmScope setting is particularly important.

Options for DM scope include:

• per-channel-peer – Each conversation is isolated. This is the safest option.
• per-channel – All conversations in a channel share context. Riskier.
• global – Everything shares context. Avoid this unless you have a specific need.

The audit flags anything other than per-channel-peer as a potential information leak. Different users could see each other’s data if scoping is too broad.

Tool Profile and Permission Checks

Tools are where things get dangerous. Each tool gives the AI agent new capabilities. The audit looks closely at tool configurations.

Tool profiles – OpenClaw has preset profiles like “messaging” that limit available tools. Using a restrictive profile is safer than enabling everything.

Deny lists – You can explicitly block certain tools or tool groups. The audit checks if dangerous tool groups are denied:

• group:automation – Tools that can run automated tasks
• group:runtime – Tools that affect the runtime itself
• group:fs – Filesystem access tools
• sessions_spawn – Ability to create new sessions
• sessions_send – Ability to send messages as the agent

Filesystem restrictions – The fs.workspaceOnly setting limits file access to a specific workspace folder. Without this, the agent could read or write anywhere on your system.

Execution permissions – The exec.security setting controls whether the agent can run shell commands. Options are “allow”, “ask”, and “deny”. The safest setting is “deny” combined with ask: "always" which requires explicit approval for any command.

Elevated privileges – The elevated.enabled flag determines if the agent can request elevated permissions. Keep this disabled unless you really need it.

Channel-Specific Security Checks

OpenClaw can connect to various communication channels like WhatsApp, Slack, or Discord. Each channel has its own security considerations.

DM policy – For direct messages, the “pairing” policy requires verification before the agent responds to new contacts. This prevents random people from interacting with your agent.

Group settings – In group chats, the requireMention setting is important. When enabled, the agent only responds when explicitly mentioned. This prevents it from jumping into every conversation.

A secure channel configuration:

channels: { whatsapp: { dmPolicy: "pairing", groups: { "*": { requireMention: true } } } }

Credential Storage Verification

The audit checks how credentials are stored. OpenClaw handles various tokens, API keys, and secrets. These should never be in plain text configuration files.

The credential storage map shows where different credentials live:

• API tokens should use secure storage mechanisms
• Session tokens should be ephemeral
• Long-lived credentials should be encrypted
• No credentials should be in version control

The audit flags any credentials found in plain text or insecure locations.

File Permission Audits

Unix-style file permissions matter. The audit checks that:

• Configuration files are readable only by the owner
• State files aren’t world-writable
• Log files don’t have overly permissive access
• Workspace directories have appropriate restrictions

Bad file permissions can let other users on a shared system access your OpenClaw instance. The --fix flag can correct most permission issues automatically.

Manual Fixes for Issues the Audit Can’t Auto-Remediate

Why Some Issues Need Manual Intervention

The --fix flag is helpful but limited. Some issues require human judgment. Others involve trade-offs between security and functionality. The audit can identify these problems, but you need to decide how to handle them.

Fixing Gateway Authentication Issues

If the audit flags weak gateway authentication, here’s how to fix it manually:

Step 1: Generate a strong random token. Use at least 32 characters. Don’t make it up yourself. Use a password generator or run:

openssl rand -base64 32

Step 2: Update your configuration file. Find the gateway auth section and set the token:

auth: { mode: "token", token: "your-long-random-token-here" }

Step 3: Restart OpenClaw for the change to take effect.

Step 4: Update any clients or integrations that connect to your gateway. They’ll need the new token.

Reconfiguring Tool Access

If dangerous tools are enabled, you’ll need to edit the tool configuration manually. The audit can’t change this automatically because it doesn’t know what you actually need.

Ask yourself: Does your use case really require filesystem access? Shell execution? The ability to spawn sessions?

Most personal assistant tasks don’t need these dangerous capabilities. Start with the most restrictive profile possible. Add capabilities only when you have a specific need.

To restrict tools:

Step 1: Set a restrictive base profile:

tools: { profile: "messaging" }

Step 2: Add explicit deny rules for dangerous groups:

deny: ["group:automation", "group:runtime", "group:fs", "sessions_spawn", "sessions_send"]

Step 3: If you need some filesystem access, limit it to the workspace:

fs: { workspaceOnly: true }

Step 4: For execution, require explicit approval:

exec: { security: "deny", ask: "always" }

Handling Session Scope Changes

Changing session scope can affect existing sessions. Before making changes:

Step 1: Check active sessions with openclaw sessions list

Step 2: Decide if existing sessions need to be terminated

Step 3: Update the configuration:

session: { dmScope: "per-channel-peer" }

Step 4: Restart OpenClaw

Step 5: Verify new sessions are isolated correctly

Device Pairing and Token Management

One user shared their security hardening process: “Checked my device pairing logs for unexpected approvals. Verified my filesystem mounts were read-only. Revoked and re-issued tokens.”

This is good practice after any security incident or when you suspect compromise. To review and manage tokens:

Check pairing logs: Look for any devices you don’t recognize. Unexpected approvals could indicate unauthorized access.

Verify filesystem mounts: If using containers or sandboxing, confirm mounts are read-only where appropriate.

Revoke and reissue tokens: When in doubt, revoke everything and start fresh. It’s inconvenient but safer than leaving potentially compromised credentials active.

Addressing Network Exposure Issues

If your gateway is exposed to the network when it shouldn’t be, follow these steps:

Step 1: Change the bind address to loopback:

gateway: { bind: "loopback" }

Step 2: Check your firewall rules. Make sure the OpenClaw port isn’t open to the public.

Step 3: If you need remote access, set up a VPN or use a reverse proxy with proper authentication.

Step 4: Enable HSTS if serving over HTTPS to prevent downgrade attacks.

Real Risks: What Can Actually Go Wrong

The Shared Slack Workspace Problem

This is a real risk that OpenClaw’s documentation explicitly calls out. When you add an OpenClaw agent to a shared Slack workspace, anyone in that workspace can potentially interact with it.

Why is this dangerous?

• Other users could prompt the agent to perform actions
• Malicious users could attempt prompt injection attacks
• Sensitive information could leak across organizational boundaries
• The agent might have access to resources it shouldn’t share

The mitigation is to configure strict channel policies. Require mentions. Use pairing for DMs. Consider running separate instances for different trust levels.

Prompt Injection Attacks

Prompt injection is when an attacker crafts input that makes the AI do something unintended. With OpenClaw, this is especially dangerous because the AI has real capabilities.

Example scenario: An attacker sends a message that looks like instructions. The AI interprets it as a command and executes a destructive action.

Defenses include:

• Limiting tool access to what’s actually needed
• Requiring approval for dangerous operations
• Setting up proper session isolation
• Training users to recognize suspicious prompts

Memory and Context Leakage

OpenClaw agents can have persistent memory. This is useful for continuity but creates risks. Information from one conversation might leak into another.

The session scoping settings are designed to prevent this. But misconfiguration can expose data across boundaries.

Warning signs include:

• The agent referencing information from conversations it shouldn’t know about
• Responses that include details from other users’ sessions
• Unexpected context appearing in new conversations

Credential Theft Through the Agent

If your agent has access to credentials or can read credential files, an attacker could potentially extract them through clever prompting.

This is why credential storage is audited carefully. Credentials should be:

• Stored securely, not in plain text configs
• Accessed through secure mechanisms, not file reads
• Rotated regularly
• Logged when accessed

Destructive Actions

An agent with filesystem write access or shell execution can do a lot of damage. Accidentally or through attack, it could:

• Delete files
• Overwrite configurations
• Install malware
• Modify system settings
• Exfiltrate data

This is why the default should be restrictive. Only enable dangerous capabilities when necessary. Always require approval for destructive operations.

The Company-Shared Agent Pattern

OpenClaw’s documentation describes a “company-shared agent” as an acceptable pattern. This means multiple people in an organization share one agent instance.

This can be done safely if:

• All users have appropriate trust levels
• Session scoping is properly configured
• Tool access is limited appropriately
• Audit logging is enabled
• Regular security audits are performed

But it’s still riskier than personal instances. Consider whether the convenience is worth the additional attack surface.

Hardening Your OpenClaw Instance Beyond the Basic Audit

The 60-Second Hardened Baseline

OpenClaw’s documentation provides a quick hardening baseline. Here’s the complete configuration:

gateway: {
  mode: "local",
  bind: "loopback",
  auth: { mode: "token", token: "replace-with-long-random-token" }
}
session: {
  dmScope: "per-channel-peer"
}
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 }
}
channels: {
  whatsapp: {
    dmPolicy: "pairing",
    groups: { "*": { requireMention: true } }
  }
}

This configuration:

• Limits gateway to local loopback connections
• Requires token authentication
• Isolates sessions per channel and peer
• Uses restrictive messaging tool profile
• Denies dangerous tool groups
• Limits filesystem to workspace only
• Denies execution unless explicitly approved
• Disables elevated privileges
• Requires pairing for DMs
• Requires mention in groups

Start here and loosen restrictions only when you have a specific need.

Sandboxing for Additional Isolation

Beyond configuration, you can run OpenClaw tools in a sandbox. Docker is the default backend for this.

Sandboxing adds another layer of protection. Even if a tool is compromised, the sandbox limits what it can access on the host system.

To enable sandboxing:

• Configure agents.defaults.sandbox in your settings
• Make sure Docker is installed and running
• Define resource limits for sandboxed tools
• Test that tools work correctly in the sandbox

Reverse Proxy Setup for Remote Access

If you need to access OpenClaw remotely, don’t expose it directly. Use a reverse proxy instead.

Benefits of a reverse proxy:

• TLS termination for encrypted connections
• Additional authentication layer
• Rate limiting to prevent abuse
• Request logging for audit trails
• IP allowlisting for access control

Popular options include nginx, Caddy, or Traefik. Configure HSTS to ensure connections are always encrypted.

Log Management and Monitoring

OpenClaw stores session logs on disk by default. These logs can contain sensitive information. Managing them properly is part of security.

Log security checklist:

• Set appropriate file permissions on log directories
• Implement log rotation to prevent disk exhaustion
• Consider encrypting logs at rest
• Set up alerting for suspicious activities
• Define retention policies and stick to them

Regular Audit Scheduling

Don’t run the security audit once and forget about it. Make it part of your routine.

Recommended schedule:

Consider automating audits in your CI/CD pipeline. Run openclaw security audit --deep and fail the build if critical issues are found.

Understanding the Trust Boundary Matrix

What Are Trust Boundaries

OpenClaw operates across multiple trust boundaries. Understanding these is key to security.

A trust boundary is where the level of trust changes. Data or commands crossing a boundary need verification.

Main trust boundaries in OpenClaw:

• User to Agent – Messages from users to the AI
• Agent to Tools – Commands the AI issues to tools
• Agent to Filesystem – File read/write operations
• Agent to Network – External API calls
• Agent to Channels – Messages sent through communication platforms
• Gateway to External – Connections from outside

The Gateway and Node Trust Concept

OpenClaw distinguishes between the gateway and nodes. The gateway handles incoming connections. Nodes execute tools and actions.

You can run nodes remotely. This is useful for distributing workload but creates additional trust considerations.

Questions to ask:

• Do you trust the network between gateway and nodes?
• Are node connections authenticated?
• Can a compromised node affect other nodes?
• What happens if a node becomes unavailable?

What the Audit Considers “Not Vulnerabilities by Design”

Some behaviors might look like vulnerabilities but are actually intentional. OpenClaw’s documentation lists these explicitly.

Understanding intended behavior prevents false positive findings. But it also means you need to know these behaviors exist and account for them in your security model.

Examples of “not vulnerabilities by design”:

• The agent can access anything the host user can access (by design, the agent acts with user permissions)
• Memory persists across sessions when configured to do so
• Tools can interact with external systems when enabled

These aren’t bugs. They’re features. But they have security implications you need to manage.

Creating Your Own Trust Model

The default trust boundaries might not match your needs. Consider creating a custom trust model.

Steps to develop your model:

Step 1: List all the data and systems your agent can access

Step 2: Classify that data by sensitivity

Step 3: Identify who should be able to interact with the agent

Step 4: Define what actions require approval

Step 5: Map these requirements to OpenClaw configuration

Step 6: Test that the configuration enforces your model

Step 7: Document the model for others on your team

Advanced Security Topics for OpenClaw

Dynamic Skills and Remote Nodes

OpenClaw supports dynamic skills through watchers and remote nodes. These extend functionality but also extend the attack surface.

A watcher monitors for changes and loads new skills automatically. This is convenient but dangerous if the skill source is compromised.

Remote nodes execute tools on separate machines. This can improve isolation but introduces network trust issues.

Security considerations for dynamic skills:

• Verify the source of skills before loading
• Use signed skills when available
• Monitor for unexpected skill changes
• Sandbox dynamic skills aggressively

Node Execution and system.run

The system.run capability lets the agent execute arbitrary commands. This is the most dangerous feature. Handle with extreme caution.

If you absolutely need this capability:

• Limit to specific allowed commands
• Require approval for every execution
• Log all commands and their output
• Run in a sandboxed environment
• Set resource limits to prevent abuse

Better yet, create specific tools for the commands you need instead of enabling general execution.

Control UI Security Over HTTP

OpenClaw has a control UI for management. If this is exposed over HTTP (not HTTPS), it’s a critical vulnerability.

Problems with HTTP:

• Credentials sent in plain text
• Session tokens can be intercepted
• Man-in-the-middle attacks possible
• No verification of server identity

Always use HTTPS for the control UI. Set up TLS certificates. Enable HSTS. There’s no good reason to use plain HTTP for any administrative interface.

Insecure Flag Detection

The audit checks for insecure or dangerous flags in your configuration. These are settings that disable security features for testing or debugging.

Common dangerous flags:

• Skip authentication flags
• Debug mode in production
• Verbose logging that includes secrets
• Disabled SSL verification
• Permissive CORS settings

These might be fine in development. They should never be in production. The audit flags them so you can remove them before deployment.

Published Package Dependency Lock

OpenClaw depends on other packages. Those dependencies could be compromised. Locking dependencies helps protect against supply chain attacks.

Best practices:

• Use lock files to pin exact versions
• Verify package integrity with checksums
• Monitor for security advisories on dependencies
• Update dependencies regularly but deliberately
• Audit new dependencies before adding them

Building a Security Audit Routine

Creating an Audit Checklist

Beyond the automated audit, create a manual checklist for regular review.

Sample checklist items:

Responding to Audit Findings

When the audit finds issues, respond systematically.

Step 1: Triage – Sort findings by severity. Critical issues first.

Step 2: Investigate – Understand why the issue exists. Is it a configuration mistake? An intentional trade-off? Something you didn’t know about?

Step 3: Fix or Accept – Either fix the issue or document why you’re accepting the risk.

Step 4: Verify – Run the audit again to confirm the fix worked.

Step 5: Document – Record what you found and how you addressed it.

Step 6: Prevent – Consider how to prevent similar issues in the future.

Integrating Security Audits into Development

If you’re developing with OpenClaw, build security into your workflow.

Pre-commit hooks can run the basic audit before code is committed. CI pipelines can run deep audits on every pull request. Deployment scripts can verify security before releasing.

Example CI integration:

openclaw security audit --deep || exit 1

This fails the build if any findings are reported. You might want to filter by severity:

openclaw security audit --deep --fail-on=critical

Training Your Team

Security is a team responsibility. Everyone who works with OpenClaw should understand the basics.

Training topics:

• How the trust model works
• What the agent can and can’t do
• How to recognize suspicious behavior
• When to escalate security concerns
• How to run and interpret audits

Create documentation specific to your setup. Generic training helps, but context-specific guidance is better.

Comparing OpenClaw Security to Other AI Agent Platforms

What OpenClaw Gets Right

OpenClaw’s built-in security audit is a strength. Many AI agent platforms don’t have equivalent tooling. The fact that you can run openclaw security audit and get actionable findings is valuable.

Other strengths:

• Explicit trust boundary documentation
• Configurable tool restrictions
• Session scoping options
• Automatic remediation for common issues
• Honest about limitations (“no perfectly secure setup”)

Areas Where Other Platforms Differ

Not all platforms take the same approach. Some differences:

Hosted vs Self-Hosted – Some platforms run everything in their cloud. This shifts security responsibility but reduces control.

Sandboxing Defaults – Some platforms sandbox all tool execution by default. OpenClaw makes it optional.

Permission Granularity – Permission systems vary widely. Some are coarse (allow/deny), others are fine-grained.

Audit Capabilities – Few platforms have built-in auditing as comprehensive as OpenClaw’s.

Making the Right Choice for Your Needs

The right platform depends on your requirements:

• Need maximum control? Self-hosted with comprehensive auditing (OpenClaw fits here)
• Want minimal security responsibility? Managed platform with SOC 2 compliance
• Building sensitive applications? Look for fine-grained permissions and audit logging
• Experimenting? Any platform works, but learn security habits early

Conclusion: Making OpenClaw Security Audits Part of Your Practice

Running an OpenClaw security audit isn’t optional. It’s a basic requirement for anyone using AI agents that can touch real systems. The built-in audit tool makes this easy. Use it.

Start with the hardened baseline configuration. Run deep audits regularly. Fix what you find. Document what you accept.

Security in AI agents is different from traditional software security. The agent can be steered by inputs you don’t control. The capabilities you grant can be misused. Understanding these risks and managing them is your responsibility.

Make auditing a habit. Your future self will thank you when something goes wrong and you catch it early instead of after a breach.

Frequently Asked Questions About OpenClaw Security Audit