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# Paper: Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening
---
type: paper
title: "Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening"
authors: Zhenxiong Yu, Zhi Yang, Zhiheng Jin, Shuhe Wang, Heng Zhang, Yanlin Fei, Lingfeng Zeng, Fangqi Lou, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2602.05386
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-02-05
updated_at: 2026-02-06
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- reasoning
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CR
- cs.AI
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 13
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, reasoning, tool-use
- arXiv categories: cs.CR, cs.AI
- collection score: 13
## 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/2602.05386