Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents
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Abstract (arXiv)
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 deployment practices.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Mar 2026.
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Citing papers per year: 2026: 4.
4 papers.
- 2026The Self Driving Portfolio: Agentic Architecture for Institutional Asset Managementcited by 0
- 2026Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scalecited by 0
- 2026OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systemscited by 0
- 2026RAGas: Retrieval-Augmented Gas Optimization for Smart Contracts with Continuous Knowledge Integrationcited by 0
- 2026RAGas: Retrieval-Augmented Gas Optimization for Smart Contracts with Continuous Knowledge Integration16 Aug 2026
- 2026Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale18 Jun 2026
- 2026OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems16 Apr 2026
- 2026The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management2 Apr 2026