Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents
Zongwei Li, Wenkai Li, Xiaoqi Li

TL;DR
This paper proposes a comprehensive blueprint for designing secure autonomous agents like OpenClaw, emphasizing a shift from patching vulnerabilities to systematic defensive engineering and safety practices.
Contribution
It introduces a risk taxonomy, secure engineering principles, and a research agenda to improve the security of autonomous tool-invoking agents.
Findings
Developed a risk taxonomy for agent vulnerabilities.
Outlined secure engineering principles for agent design.
Proposed a research agenda for safety in autonomous agents.
Abstract
OpenClaw-like agents offer substantial productivity benefits, yet they are insecure by default because they combine untrusted inputs, autonomous action, extensibility, and privileged system access within a single execution loop. We use OpenClaw as an exemplar of a broader class of agents that interact with interfaces, manipulate files, invoke tools, and install extensions in real operating environments. Consequently, their security should be treated as a software engineering problem rather than as a product-specific concern. To address these architectural vulnerabilities, we propose a blueprint for defensible design. We present a risk taxonomy, secure engineering principles, and a practical research agenda to institutionalize safety in agent construction. Our goal is to transition the community focus from isolated vulnerability patching toward systematic defensive engineering and robust…
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Taxonomy
TopicsSecurity and Verification in Computing · Advanced Malware Detection Techniques · Information and Cyber Security
