agent/papers/items/2026-2605-29801-agentdog-1-5-a-lightweight-and-scalable-alignment-framework-for-ai-agent-safety-.md

Paper: AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security

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type: paper title: "AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security" authors: Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang, Guanxu Chen, Yuejin Xie, Qinghua Mao, Wanying Qu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.29801 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-28 updated_at: 2026-05-28 status: queued relevance: high topics:

• agent-safety
• computer-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL
• cs.CR
• cs.CV
• cs.LG 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, computer-use
• arXiv categories: cs.AI, cs.CL, cs.CR, cs.CV, cs.LG
• 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/2605.29801