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the regime, millions of young Iranians flooded the internet to   The most important AI technologies used in today’s modern
        coordinate their activities, share viral content, and encourage   OSINT solutions come mainly from the fields of natural language
        others to join the campaign. It was the first time that the internet   processing (NLP), image and video analysis, and robotic data
        was flooded with citizen information about a major political   collection (web crawling).
        event. This was, of course, made possible by a combination of
        smartphones, the internet, and social media. For example, 60%   NLP applications allow algorithms or machine learning models   FEATURE
        of the blog links posted on Twitter during the first week of the   to interpret human language use. This is particularly useful
        protests were about Iranian politics.               for  analyzing  social  media  and  other  data-rich  sources.  For
                                                            example, AI tools that use NLP can analyze social media posts,
        This kind of increased online presence and activism has   blogs, and news articles to identify trends, public opinion, or
        given access to a whole new repository of freely available   views on certain topics.
        but strategically important information. At the same time, of
        course, it has highlighted the value of such information and the   In the  field of image analysis,  AI can detect  and categorize
        importance of technologies that can process it.     objects, faces, and patterns in the images and videos being
                                                            processed. This capability is particularly useful in the areas of law
                                                            enforcement and intelligence, where the analysis of images and
        OSINT vs. traditional intelligence                  videos is key. As an example, image analysis tools using AI can
        The above suggests that the main difference between   help identify suspicious activities or locations, even supporting
        open source and classical intelligence is the data sources   investigative work.
        available. OSINT can only rely on information that has been
        deliberately made public by its owners. This contrasts sharply   Web crawling robots, or bots can automate web scraping by
        with traditional intelligence, which may  use, for example,   continuously browsing the content available on the internet.
        interception (signals intelligence – SIGINT), information from   One such tool is Photon Scanner, which is available to anyone
        human sources (human intelligence – HUMINT), or even   and allows the collection, filtering, and automated downloading
        analysis of satellite imagery (imagery intelligence – IMINT).   of web URLs. This data can then be collected and processed
        For obvious reasons, this information is often not public and   for further analysis. OSINT tools that use bots therefore can
        may require special licenses or technologies to access.  automate  the  collection  of  information  about  companies,
                                                            individuals, or specific events, thus speeding up and simplifying
        This difference is of course reflected not only in the sources   the data collection process.
        of  data  collection  but  also in  its  methods  and purposes.
        OSINT’s  methods mostly  include  web search,  social media   It may seem marginal today, but the proliferation of synthetic
        analysis, data mining, and natural language processing.   content may also lead to the emergence of OSINT tools that
        Traditional  intelligence  methods  are  much  more  diverse.   can separate artificially generated or manipulated content from
        They also include conducting covert operations, physical   the “original”. Given that insights generated by open-source
        surveillance, and establishing personal contacts with potential   intelligence are worth exactly as much as they were generated
        sources of information. These methods are often more time-  from “clean” data, this is expected to be appreciated significantly
        consuming and costly than those used for OSINT.     soon.

        It is also important to note that OSINT can be used in a wide   As can be seen from the above, thanks to the impact of AI, OSINT
        range of areas, including national security, law enforcement,   is no longer just a supplementary source of information, but a
        corporate intelligence, market research, journalism, and even to   vital, stand-alone data collection and analysis method. Among
        answer specific research questions.                 other things, its application significantly extends the scope and
                                                            depth of information collection. The continued development of
        In contrast, traditional intelligence is mostly focused on   AI and the integration of new technologies into OSINT tools is
        government or military purposes. In terms of costs and resources,   expected to further enhance the role and effectiveness of OSINT
        OSINT is relatively cost-effective as it does not require expensive   in the future.
        technologies or specialized staff to access publicly available
        data. In contrast, traditional intelligence methods, such as   _____________________________________________________
        SIGINT and IMINT, require significant resources, including   Article extract from
        advanced equipment and highly trained operators.    https://constitutionaldiscourse.com/osint-and-ai-possibilities-
                                                            and-drawbacks/

        Artificial Intelligence and OSINT                   István ÜVEGES is a researcher in Computer Linguistics at
        As in many other areas, Artificial Intelligence (AI)-based   MONTANA Knowledge Management Ltd. and a researcher at
        tools now play a key role in Open-Source Intelligence.   the HUN-REN Centre for Social Sciences, Political and Legal
        AI-based  tools  have  changed  the  way  OSINT  processes  are   Text Mining and Artificial Intelligence Laboratory (poltextLAB).
        mostly related to the way data is collected, analyzed, and   His main interests include practical applications of Automation,
        synthesized throughout the entire lifecycle (preparation,   Artificial  Intelligence  (Machine  Learning),  Legal  Language
        collection, processing, analysis, dissemination).   (legalese) studies and the Plain Language Movement.

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