PRAKTIČNA PRIMJENA OSINT METODA U ISTRAŽIVANJU ORGANIZIRANIH KRIMINALNIH GRUPA
PRACTICAL APPLICATION OF OSINT METHODS IN THE INVESTIGATION OF ORGANIZED CRIMINAL GROUPS

Summary/Abstract: Contemporary organized criminal groups (OCG) operate in a space that is both physical and digital, where their criminal activities generate significant publicly available information traces. Although the digital space has become a central operational environment of modern criminal activity, open source intelligence (OSINT) methods remain insufficiently conceptualized in criminal-intelligence practice and are rarely addressed as a distinct analytical approach in academic research. There is a particular lack of professional and scientific studies that systematically examine OSINT as an operational tool in the investigation of organized criminal groups. The aim of this paper is to present the practical and analytical use of OSINT methods in the identification, mapping, and monitoring of OCGs, with a focus on their application across different phases of the investigative process. The paper identifies key OSINT sources, relevant analytical methods, and proposes basic models for the application of OSINT in criminal-intelligence work, with the goal of improving the understanding and operational use of open sources in combating organized crime.

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