agent/papers/items/2026-2603-11088-the-attack-and-defense-landscape-of-agentic-ai-a-comprehensive-survey.md

Paper: The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey

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type: paper title: "The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey" authors: Juhee Kim, Xiaoyuan Liu, Zhun Wang, Shi Qiu, Bo Li, Wenbo Guo, Dawn Song year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.11088 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-11 updated_at: 2026-03-11 status: queued relevance: high topics:

• agent-safety
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CR
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 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, tool-use, workflow-agent
• arXiv categories: cs.CR, cs.AI
• collection score: 14

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/2603.11088