# 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 `queued` to `skimmed` or `summarized`?

## Links

- arXiv: https://arxiv.org/abs/2607.03233
