agent/papers/items/2026-2607-09076-neuro-agentic-control-a-deep-learning-based-llm-powered-agentic-ai-framework-for.md

Paper: Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls

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type: paper title: "Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls" authors: Saroj Gopali, Bipin Chhetri, Deepika Giri, Sima Siami-Namini, Akbar Siami Namin year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.09076 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-09 updated_at: 2026-07-09 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: agentic-ai

One-line Takeaway

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

Why Collected

• matched queries: agentic-ai
• inferred topics: agent-evaluation, agent-safety, planning, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 15

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/2607.09076