OpenClaw Security Logging: The Complete Guide to Protecting Your AI Gateway

OpenClaw shot from zero to 150,000 GitHub stars almost overnight. That kind of growth is exciting. But it also brought problems that nobody saw coming. As of March 2026, security researchers found over 140,000 publicly exposed OpenClaw instances. That’s not a typo. These aren’t just test setups. They’re real systems with access to files, credentials, and messaging platforms.

This guide covers everything you need to know about OpenClaw security logging. We’ll break down how logging works, why it matters, and what happens when you get it wrong. You’ll learn about the real attacks happening right now, the configuration mistakes that make them possible, and the specific steps to lock down your setup.

The stakes are real. Unlike a chatbot that just talks, OpenClaw acts. It reads your files, sends messages, and runs commands. When something goes wrong, good logging is your only way to figure out what happened and stop it from happening again.

What Is OpenClaw and Why Does Security Logging Matter?

OpenClaw is a multi-channel AI gateway. Think of it as a bridge between you and AI models like Claude, GPT, and Gemini. But it’s much more than a chat interface.

The Power and the Problem

OpenClaw connects to:

• Telegram
• Discord
• Slack
• WeChat
• Email systems

It can also:

• Execute system commands
• Read and write files
• Operate a web browser
• Access your credentials

Acronis Threat Research Unit calls this a “new privileged identity.” That’s security-speak for something that has the keys to your kingdom.

The question isn’t “what could it say?” The real question is: “what could it DO to your systems, your data, and your business while you’re not watching?”

Why Logging Becomes Your Lifeline

Good security logging does three things:

1. Detection: You can’t stop what you can’t see. Logs show you when something strange happens.
2. Investigation: After an incident, logs tell you what happened, when, and how.
3. Prevention: Patterns in logs help you spot weaknesses before attackers do.

Without proper logging, you’re flying blind. Pillar Security has documented large-scale automated attacks against exposed OpenClaw instances. These attacks include credential theft, command execution, and session hijacking. Without logs, victims had no idea they were compromised until the damage was done.

The Gartner Warning

A recent Gartner report pulled no punches. It warned that “Agentic Productivity Comes With Unacceptable Cybersecurity Risk” and called OpenClaw “a dangerous preview of agentic AI, demonstrating high utility but exposing enterprises to ‘insecure by default’ risks like plaintext credential storage.”

That phrase “insecure by default” is key. OpenClaw prioritizes ease of use out of the box. Security features exist, but you have to turn them on yourself.

Understanding OpenClaw’s Session Log Architecture

Before you can secure logging, you need to understand how OpenClaw handles session data and where logs actually live.

Local Session Logs Live on Disk

OpenClaw stores session logs locally by default. This is documented in the official security guide under “Local session logs live on disk.” Every conversation, every command, every file access gets written to your local storage.

This creates two problems:

Problem 1: Disk Access Equals Log Access

Anyone who can read your filesystem can read your logs. Those logs might contain sensitive conversation data, file paths, and details about what tools you’ve used.

Problem 2: Log Integrity

Local logs can be modified or deleted. An attacker who gains access could cover their tracks by wiping the evidence.

The DM Scope Configuration

Look at this configuration snippet:

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

The dmScope setting controls how sessions are isolated. Setting it to “per-channel-peer” means each direct message conversation gets its own isolated session. This matters for logging because:

• Logs stay separated per conversation
• Cross-contamination between sessions becomes harder
• You can audit specific interactions without wading through everything

Context Visibility Model

OpenClaw’s context visibility model determines what information is available to whom. This directly affects what gets logged and who can access those logs.

The documentation breaks this into several layers:

1. Channel context: Information specific to the messaging platform
2. Session context: Data from the current conversation
3. Agent context: Broader knowledge available to the AI
4. System context: Host-level information

Each layer has different sensitivity levels. Your logging strategy should match these boundaries.

The Attack Surface: What Threats Target OpenClaw Logging

Let’s talk about real attacks. Not theoretical risks. Actual attacks that security researchers have documented.

Threat T-EXEC-001: Direct Prompt Injection

The zast-ai/openclaw-security repository on GitHub catalogs this threat. Here’s how it works:

Messages from other users manipulate your Agent to execute malicious instructions. Someone sends you a message that looks harmless but contains hidden prompts. Your OpenClaw instance reads the message, follows the hidden instructions, and does something you never intended.

What does this have to do with logging? Everything.

Good logging shows you:

• The exact message that triggered the action
• What instructions the agent interpreted
• What commands got executed
• What files were accessed

Without logging, you see:

• Nothing. You don’t know it happened.

Credential Theft Attacks

Pillar Security documented automated attacks specifically targeting credentials stored in OpenClaw instances. Here’s the attack chain:

1. Attacker finds an exposed OpenClaw instance
2. Attacker sends crafted messages to trigger credential access
3. OpenClaw agent retrieves and exposes credentials
4. Attacker captures and uses those credentials elsewhere

The Credential Storage Map section of the official docs explains where credentials live. They’re stored locally, often in plaintext. Logging access to these credential stores is critical for detecting theft.

Session Hijacking

When an attacker hijacks a session, they take over an existing conversation. They can:

• Read everything said before
• Send messages as if they were you
• Execute commands with your permissions
• Access files you can access

Session logs become evidence. They show when the hijacking happened, what the attacker did, and how long they had access.

340+ Malicious Skills in ClawHub

The ClawHub marketplace has over 340 malicious skills discovered so far. These are plugins that look helpful but contain hidden malicious code. The zast-ai security manual puts it bluntly:

“Do not trust any external input — messages, emails, web content, Skills, plugins — treat all of it as potentially malicious.”

Logging skill execution helps you catch these bad actors. You can see what a skill actually did versus what it claimed it would do.

Configuring OpenClaw Security Logging Step by Step

Now let’s get practical. Here’s how to set up proper logging for your OpenClaw instance.

The Hardened Baseline in 60 Seconds

The official docs offer a quick hardening guide. Start with this baseline configuration:

This gets you off the internet immediately. No more being one of those 140,000 exposed instances.

Tool Logging Configuration

The tools section of your config controls what your agent can do. Here’s a security-focused setup:

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 }
}

Breaking this down:

profile: “messaging” – Loads a pre-built profile designed for messaging use cases. Limits what tools are available.

deny – Explicitly blocks dangerous tool groups:

• group:automation – Blocks automated scripts
• group:runtime – Blocks runtime modifications
• group:fs – Blocks filesystem operations
• sessions_spawn – Blocks creating new sessions
• sessions_send – Blocks sending to other sessions

fs: { workspaceOnly: true } – If file access is allowed, restrict it to a specific workspace folder.

exec: { security: “deny”, ask: “always” } – Blocks command execution entirely. If somehow bypassed, always asks for confirmation.

elevated: { enabled: false } – No elevated privileges, period.

Enabling Detailed Command Logging

Every tool execution should be logged. This means capturing:

• The timestamp of the request
• The tool being called
• The parameters passed to the tool
• The result returned
• Any errors that occurred

The Node execution (system.run) section of the docs explains how command execution works. Every system.run call should generate a log entry.

Network Connection Logging

The security guide recommends these network logging practices:

• Restrict outbound connections to known services
• Block access to internal network resources
• Log all connection attempts

That last point is key. Even failed connections should be logged. An attacker probing your network from inside OpenClaw will generate connection attempts. Those logs become evidence.

Setting Up Log Rotation and Retention

Logs that fill up your disk become a denial-of-service vector. Logs that get deleted too quickly lose forensic value. You need a balance.

Recommended settings:

Adjust based on your compliance requirements. Some industries require longer retention.

The OpenClaw Security Audit Checklist

The official documentation includes a security audit checklist. Let’s walk through it and explain how logging ties into each check.

What the Audit Checks (High Level)

The audit covers several areas:

1. Gateway binding and exposure – Is your instance reachable from the internet?
2. Authentication configuration – Is token auth enabled with a strong token?
3. Tool permissions – Which tools are enabled and what can they do?
4. Credential storage – Where are credentials stored and who can access them?
5. Session isolation – Are sessions properly separated?
6. File system access – What files can the agent read or write?
7. Network access – What network resources can the agent reach?

Running the Quick Check: OpenClaw Security Audit

OpenClaw includes a built-in security audit command. Run it regularly. The results should go into your logs.

The audit will flag:

• Insecure configurations
• Missing authentication
• Exposed services
• Dangerous tool permissions

Log these audit results. Track them over time. If your security posture degrades, you want to know when and why.

Security Audit Glossary

The documentation includes a glossary of terms. Here are the ones most relevant to logging:

Blast radius: How much damage can occur if something goes wrong. Good logging helps you understand and limit blast radius.

Trust boundary: The line between trusted and untrusted components. Logs should capture all activity that crosses trust boundaries.

Privilege escalation: When an attacker gains higher permissions than they should have. Logs show the path of escalation.

Insecure or Dangerous Flags Summary

The docs list flags that are insecure or dangerous. If you use any of these, make sure your logging is extra thorough:

Trust Boundaries and the Gateway Node Trust Concept

Understanding trust boundaries helps you know what to log and why. OpenClaw’s documentation includes a trust boundary matrix that explains this well.

Gateway and Node Trust Concept

In OpenClaw, there are two main trust levels:

Gateway trust: The gateway is your central control point. It handles authentication, routing, and policy enforcement. If the gateway is compromised, everything downstream is at risk.

Node trust: Nodes are individual workers that execute tasks. They should be sandboxed and isolated. A compromised node should not lead to a compromised gateway.

Your logging should treat these differently. Gateway logs are more sensitive and should have stronger protections. Node logs are more numerous but less critical individually.

Trust Boundary Matrix

The official matrix breaks down trust relationships:

Not Vulnerabilities by Design

The docs have an interesting section called “Not vulnerabilities by design.” This explains behaviors that look like security issues but are actually intentional. You should still log these behaviors, but understand they’re expected.

Examples include:

• Local logs being readable by local users
• Sessions persisting across restarts
• Credentials being accessible to the agent

These are design decisions, not bugs. But they still need logging to detect misuse.

Shared Environment Security: Slack, Teams, and Beyond

OpenClaw connects to shared messaging platforms. This creates unique logging challenges.

Shared Slack Workspace: Real Risk

The documentation calls out Slack specifically. In a shared Slack workspace, your OpenClaw agent might receive messages from many people. Each of those people could be an attacker.

The risk: Someone in your Slack workspace sends a message with hidden prompt injection. Your agent executes commands on their behalf.

The logging need: You must log who sent each message, what the agent interpreted, and what actions resulted. Without this, you can’t trace attacks to their source.

The Shared Inbox Quick Rule

For shared inboxes and channels, follow this rule:

Require mentions for all agent interactions in group contexts.

Look at this configuration:

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

The requireMention: true setting means the agent only responds when explicitly mentioned. This reduces the attack surface because random messages in the channel won’t trigger the agent.

Log when mentions happen. Log when the agent ignores non-mention messages. This helps you audit who’s trying to interact with your agent.

Company-Shared Agent: Acceptable Pattern

Some organizations want to share an OpenClaw agent across the company. The docs call this an “acceptable pattern” if done correctly.

Requirements for safe sharing:

• Strong authentication for all users
• Role-based access controls
• Per-user logging
• Session isolation between users
• Clear audit trails

The per-user logging is critical. If User A does something bad, you need to attribute it to User A, not just “someone on the shared agent.”

Secure File Operations and Logging File Access

OpenClaw can read and write files. This is powerful and dangerous. Logging file operations is one of your most important security controls.

Secure File Operations Configuration

The official guide recommends:

fs: { workspaceOnly: true }

This restricts file access to a designated workspace folder. But even with this restriction, you need logging.

Log every file operation:

• File reads (what file, when, by what session)
• File writes (what file, what content, when)
• File deletions
• Directory listings
• Permission changes

The Published Package Dependency Lock

The docs mention “Published package dependency lock.” This relates to ensuring that the packages your OpenClaw instance uses haven’t been tampered with.

Log when packages are loaded. Log version numbers. If something changes unexpectedly, your logs will show it.

Dynamic Skills and Remote Nodes

The “Dynamic skills (watcher / remote nodes)” section explains how OpenClaw can load skills dynamically. This flexibility is also a security risk.

Every skill load should be logged with:

• The skill identifier
• Where it came from (local, remote, ClawHub)
• When it was loaded
• What permissions it requested
• What permissions it was granted

Given the 340+ malicious skills found in ClawHub, this logging is essential.

Control UI Security and HTTP Access Logging

OpenClaw includes a web-based control UI. Securing access to this UI and logging all interactions is critical.

Control UI Over HTTP

The documentation section “Control UI over HTTP” explains the risks. By default, the UI might be accessible without encryption. This means:

• Credentials could be intercepted
• Sessions could be hijacked
• Commands could be injected

Always use HTTPS. Period.

Reverse Proxy Configuration

The docs recommend using a reverse proxy (like Nginx or Caddy) in front of OpenClaw. This provides:

• TLS termination (encryption)
• Additional logging layer
• Rate limiting
• IP filtering

Your reverse proxy should log:

• All requests to the OpenClaw UI
• Client IP addresses
• Request paths
• Response codes
• Request timing

These logs complement OpenClaw’s internal logs. They give you visibility at the network edge.

HSTS and Origin Notes

The “HSTS and origin notes” section explains additional HTTP security headers. HSTS (HTTP Strict Transport Security) forces browsers to use HTTPS.

Log when clients try to connect over HTTP (non-secure). These could be:

• Misconfigured clients
• Downgrade attacks
• Attackers probing your setup

Building a Complete OpenClaw Security Logging Strategy

Now let’s pull everything together into a complete strategy.

Layer 1: Gateway Logging

At the gateway level, log:

• All authentication attempts (successful and failed)
• Session creation and termination
• Configuration changes
• Security audit results
• Error conditions

Gateway logs should be protected more strongly than other logs. Consider encrypting them at rest and limiting access.

Layer 2: Channel Logging

For each messaging channel (Slack, Discord, Telegram, etc.), log:

• Incoming messages (with sender identification)
• Outgoing messages
• Channel events (joins, leaves, permission changes)
• Failed message deliveries

Be aware of privacy implications. Message content may be sensitive. Consider logging metadata without full content in some cases.

Layer 3: Tool Execution Logging

Every tool call needs a log entry:

• Which tool was called
• What parameters were passed
• Who (which session/user) triggered the call
• What was the result
• How long did it take
• Did it succeed or fail

This is your primary evidence trail for investigating incidents.

Layer 4: AI Model Interaction Logging

Log interactions with AI models:

• What prompts were sent
• What responses were received
• Token usage
• Error responses
• Rate limiting events

This helps you detect prompt injection attempts and understand how the AI interpreted requests.

Layer 5: External Integration Logging

For any external service connections:

• Connection attempts (successful and failed)
• Data transferred (size, not necessarily content)
• Authentication events
• API calls made

Log Aggregation and Analysis

Having logs is step one. Making them useful is step two.

Consider:

• Centralized log collection (don’t leave logs scattered)
• Real-time alerting on suspicious patterns
• Regular log reviews
• Long-term retention for compliance
• Search capabilities for incident investigation

Tools like ELK Stack, Splunk, or even simpler solutions like Loki can help you manage OpenClaw logs at scale.

Alert Rules for OpenClaw Security

Set up alerts for these conditions:

Comparing OpenClaw Security Logging to Industry Standards

How does OpenClaw’s logging compare to what security professionals expect?

OWASP Logging Guidelines

The OWASP Logging Cheat Sheet recommends logging:

• Input validation failures
• Authentication successes and failures
• Authorization failures
• Session management failures
• Application errors
• High-risk functionality use

OpenClaw can log all of these, but you have to configure it properly. Out of the box, many of these aren’t logged or aren’t logged with enough detail.

SOC 2 Compliance Considerations

If you need SOC 2 compliance, logging requirements get stricter:

• Logs must be tamper-evident
• Retention periods must be defined and followed
• Access to logs must be restricted and logged itself
• Regular log reviews must be documented

OpenClaw’s default local logging doesn’t meet these requirements. You’ll need to add:

• Log signing or checksums
• External log storage
• Access controls on log files
• Audit logging for log access

Comparison with Other AI Gateways

How does OpenClaw compare to alternatives?

OpenClaw trades security convenience for flexibility and cost. You can build a secure setup, but you have to do the work yourself.

Real-World OpenClaw Security Logging Scenarios

Let’s look at some scenarios and how logging would help.

Scenario 1: The Insider Threat

An employee in your company has access to the shared OpenClaw agent. They use it to access files they shouldn’t see.

Without logging: You never know it happened.

With proper logging: You see:

• User ID associated with the session
• Timestamps of file access requests
• Which files were accessed
• Patterns showing unusual behavior

You can investigate, confront the employee, and take action.

Scenario 2: The Malicious Skill

Someone recommends a “productivity skill” from ClawHub. You install it. It secretly exfiltrates your data.

Without logging: Your data leaks for months before you notice anything wrong.

With proper logging: You see:

• The skill being loaded (date, source)
• Unusual network connections
• Data being sent to unknown endpoints
• Patterns that don’t match the skill’s stated purpose

Your alerts fire. You investigate within hours, not months.

Scenario 3: The Prompt Injection Attack

An external party sends your agent a message through Telegram. The message contains hidden instructions that cause your agent to reveal your API keys.

Without logging: You don’t know your keys are compromised until they’re used maliciously.

With proper logging: You see:

• The incoming message (with hidden content)
• The agent’s interpretation
• The credential access
• The outgoing response containing keys

You rotate keys immediately. You block the attacker. You improve your defenses.

Scenario 4: The Session Hijacking

An attacker intercepts your session token and takes over your OpenClaw instance.

Without logging: The attacker operates as you. No one knows the difference.

With proper logging: You see:

• A second location using your session
• Behavioral changes (different typing patterns, different requests)
• Activity at unusual hours
• IP address changes

Alerts fire on the anomalies. You terminate the session. You investigate how the token was compromised.

Conclusion: OpenClaw Security Logging Is Non-Negotiable

OpenClaw is powerful. It connects your messaging, accesses your files, and executes commands. That power comes with real risk. Over 140,000 exposed instances show that many users aren’t taking security seriously enough.

Good logging is your safety net. It shows you what’s happening, helps you investigate incidents, and enables you to improve your defenses over time. The configurations and strategies in this guide give you a solid foundation. But security isn’t a one-time setup. Review your logs regularly, update your alerts, and stay informed about new threats.