1.6 KiB
1.6 KiB
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:
related_jobs:
related_experiments:
related_projects:
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
queuedtoskimmedorsummarized?