Evidence record 277 · automatically gathered

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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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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