K.Shwetha, Akshitha Shakkeri, Somidi Akshay, Vadithya Yogender, Telugu Venu Gopal

Abstract

This article challenges the perception of Open-Source Intelligence (OSINT) as a revolutionary shift driven by the explosion of publicly accessible data. Instead, we argue that the rise of OSINT reflects an evolution of traditional intelligence practices: the collection, processing, analysis and dissemination of vast amounts of information. While the exponential growth of open–source data is reshaping the intelligence landscape, it is neither revolutionizing nor democratizing intelligence. Rather, it is prompting both state and non–state actors to explore how best to integrate OSINT practices and enhance digital literacy within their commu- nities. Core OSINT challenges – information overload, reliability, and legal and ethical concerns – remain consistent with broader intelligence issues. Addressing these challenges provides a foundation for consoli- dating OSINT as a community of practice, and linking it to debates on the disputed role of security expertise in the public debat