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agent/papers/items/2026-2607-03233-agentic-and-generative-ai-for-open-source-intelligence-and-cyber-investigations-.md
2026-07-08 12:25:30 +08:00

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Paper: Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions


type: paper title: "Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions" authors: Eduardo Almeida Palmieri, Mohamed Chahine Ghanem, Dipo Dunsin, Zubair Baig, Ed de Quincey, Kim-Kwang Raymond Choo year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.03233 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-03 updated_at: 2026-07-03 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

  • cs.CR
  • cs.AI
  • cs.IR
  • cs.SI related_concepts:

collection_score: 22 collection_queries: agentic-ai, rag-agent, tool-use

One-line Takeaway

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

Why Collected

  • matched queries: agentic-ai, rag-agent, tool-use
  • inferred topics: agent-evaluation, agent-safety, rag, reasoning, tool-use
  • arXiv categories: cs.CR, cs.AI, cs.IR, cs.SI
  • collection score: 22

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?