agent/papers/items/2026-2605-10763-matra-modeling-the-attack-surface-of-agentic-ai-systems-openclaw-case-study.md

Paper: MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study

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type: paper title: "MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study" authors: Tim Van hamme, Thomas Vissers, Javier Carnerero-Cano, Mario Fritz, Emil C. Lupu, Lieven Desmet, Dinil Mon Divakaran year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.10763 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-11 updated_at: 2026-05-11 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: autonomous-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: agent-evaluation, agent-safety, rag, tool-use
• arXiv categories: cs.AI, cs.CR
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2605.10763