agent/papers/items/2026-2602-14281-mcpshield-a-security-cognition-layer-for-adaptive-trust-calibration-in-model-con.md

Paper: MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents

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type: paper title: "MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents" authors: Zhenhong Zhou, Yuanhe Zhang, Hongwei Cai, Moayad Aloqaily, Ouns Bouachir, Linsey Pang, Prakhar Mehrotra, Kun Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2602.14281 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-02-15 updated_at: 2026-02-24 status: queued relevance: high topics:

• agent-safety
• computer-use
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CR
• cs.CL 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-safety, computer-use, reasoning, tool-use
• arXiv categories: cs.CR, cs.CL
• 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/2602.14281