ClawGuard is a comprehensive security toolkit designed to mitigate risks associated with autonomous agents, such as OpenClaw and other LLM-driven entities. As agents gain more autonomy to execute code, access APIs, and manage files, ClawGuard provides the necessary guardrails to ensure they operate safely and predictably.
Autonomous agents are powerful but introduce unique security attack vectors:
- Prompt Injection: Malicious inputs that hijack the agent's logic.
- Privilege Escalation: Agents performing unauthorized system-level operations.
- Data Exfiltration: Accidental leaking of PII (Personally Identifiable Information) or API keys to LLM providers.
- Resource Exhaustion: Infinite loops or recursive tasks leading to massive token costs.
ClawGuard is designed as a modular suite of security tools. We are continuously building and releasing new components to protect autonomous agents.
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Prompt-based Auditor: A rigorous security gateway prompt designed to audit third-party Skills before OpenClaw installs or configures them. It forces the agent to assess provenance, permissions, network behavior, and dependencies to prevent the execution of malicious code.
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ClawGuard Auditor: A native Skill for ClawGuard that securely audits operations, requiring installation but providing deeper system-level guardrails.
Stay tuned! We will be rolling out additional protection modules and specialized datasets soon, including:
- Runtime Guardrails: Modules to monitor and sandbox agent execution in real-time.
- Vulnerability Datasets: Comprehensive datasets of malicious prompts, poisoned skills, and edge cases to test and harden agent security.
- Data Loss Prevention (DLP) Filters: Tools to intercept and redact sensitive information before it reaches external LLM APIs.
(Installation instructions will be provided as core modules are released)
(Usage examples will be provided as core modules are released)
We welcome contributions to make autonomous agents safer!
- Fork the Project.
- Create your Feature Branch (
git checkout -b feature/AmazingFeature). - Commit your Changes (
git commit -m 'Add some AmazingFeature'). - Push to the Branch (
git push origin feature/AmazingFeature). - Open a Pull Request.
Distributed under the MIT License. See LICENSE for more information.
ClawGuard is a security tool designed to reduce risk, but it cannot guarantee 100% protection against all possible LLM vulnerabilities. Always follow the principle of least privilege (PoLP) when deploying autonomous agents.
Secure your agents. Protect your systems. Use ClawGuard.