Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions
The rapid growth of publicly available digital information has rendered manual open-source intelligence (OSINT) analysis insufficient for modern intelligence, cybersecurity, and cyber investigation. Large language models (LLMs) and agentic AI systems, capable of tool use, multi-step reasoning, and iterative intelligence generation, have emerged as promising solutions, yet evaluation frameworks have not kept pace with reported capabilities. This survey systematically reviews 74 studies and makes
Record details
Published: 3 July 2026
Source: arXiv
Category: Research
Topics: Military & security · Agents & autonomy · Finance, VC & PE
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (3 July 2026), “Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions,” evidence record 277, https://ethics.ai/record/277 (originally published by arXiv).
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