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  3. Uncovering Security Threats and Architecting Defenses in Aut
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Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: no_code

Distribution: unknown

Source paper: Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw

PDF: https://arxiv.org/pdf/2603.12644v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-19T18:48:05.835633+00:00

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Dimensions overall score 8.0

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Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats
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Defensible Design for OpenClaw: Securing Autonomous Tool-Invoking Agents
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From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent
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Clawed and Dangerous: Can We Trust Open Agentic Systems?
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ClawSafety: "Safe" LLMs, Unsafe Agents
Score 7.0down
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ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
Score 7.0down
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Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
Score 7.0down

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