agent/papers/items/2026-2607-21835-toolguardian-declarative-security-for-ai-agent-tool-interactions.md

Paper: ToolGuardian: Declarative Security for AI Agent-Tool Interactions

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type: paper title: "ToolGuardian: Declarative Security for AI Agent-Tool Interactions" authors: Arun Ravindran, Saurabh Deochake year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.21835 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-23 updated_at: 2026-07-23 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.CR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: ai-agent, llm-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent, llm-agent
• inferred topics: agent-evaluation, agent-safety, reasoning, tool-use
• arXiv categories: cs.CR
• 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/2607.21835