A Systematic Security Evaluation of OpenClaw and Its Variants

1. 1Construct a benchmark to evaluate the security of OpenClaw-series agent frameworks
2. 2Assess the security of six representative OpenClaw-series agent frameworks under multiple backbone models
3. 3Analyze the results to identify potential security risks and vulnerabilities
4. 4Develop strategies to mitigate the identified security risks and improve the overall security of tool-augmented AI agents

AI engineers, security researchers, and developers working with large language models and AI agents can benefit from this study to identify potential security risks and improve the security of their systems

💡 Tool-augmented AI agents introduce security risks that cannot be identified through model-only evaluation

🚨 New study evaluates security of OpenClaw & variants, revealing potential risks in tool-augmented AI agents 🚨