Open-Source Intelligence (OSINT)

Prompt Engineering: Tactics and Techniques in Open-Source Intelligence

Abstract:

This paper investigates the prospective application of large language models (LLMs) in Open-Source Intelligence (OSINT), with particular emphasis on integrating information acquisition processes and the growing significance of prompt engineering for analysts. The research includes a thorough literature review, a proposed information model incorporating LLMs, and underscores the functional utilization of artificial intelligence in OSINT and the associated challenges, primarily the educational needs of security forces. In this context, the study outlines prompt engineering approaches for various OSINT tasks as a crucial skill, necessitating a deep understanding of LLMs to produce validated intelligence. Relevant general prompts are demonstrated. Additionally, the paper discusses the need for updated training in critical thinking, search techniques, and prompt engineering for intelligence professionals. The findings indicate a significant evolution in OSINT methodologies, highlighting the need for ongoing research and education to fully harness AI’s potential in intelligence gathering.

Published In

Volume 23, Issue 3

Written By

Jan Černý

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

Keywords

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AI
APT

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C
C2
C2S
CDX
CIA
CIP
CPS

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DNS
DoD
DoS

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PDA

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SOA

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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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