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

---
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