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agent/papers/items/2026-2604-13536-don-t-let-ai-agents-yolo-your-files-shifting-information-and-control-to-filesyst.md
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# Paper: Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy
---
type: paper
title: "Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy"
authors: Shawn Wanxiang Zhong, Junxuan Liao, Jing Liu, Mai Zheng, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2604.13536
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-04-15
updated_at: 2026-04-16
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- coding-agent
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.OS
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 16
collection_queries: agent-safety
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: agent-safety
- inferred topics: agent-evaluation, agent-safety, coding-agent, tool-use
- arXiv categories: cs.OS
- collection score: 16
## 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/2604.13536