Developing intelligence models for the digital era

2025/09/19 by Shay Hershkovitz · 1 voice
Social Sciences · Business, Management and Accounting · Computer Science · #Intelligence, Security, War Strategy #Competitive and Knowledge Intelligence #Cybercrime and Law Enforcement Studies

paper · doi:10.1080/02684527.2025.2565952

openalex publication_date 2025/09/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/13

Abstract

The traditional intelligence cycle has been a cornerstone of intelligence work, offering a structured framework for data collection, analysis, and dissemination. However, the digital age and evolving threats have exposed its limitations. This article critiques the cycle’s linearity and rigidity, proposing adaptive, multidisciplinary models better suited to modern challenges. Drawing on case studies from the U.S. Army, NGA, and Israeli Military Intelligence, the article highlights innovations like Activity-Based Intelligence (ABI) and Multi-Disciplinary Intelligence. These models emphasize collaboration, flexibility, and the integration of advanced technologies. The article concludes with principles for redefining intelligence frameworks to meet the complexities of the digital era.

Citations

• What's wrong with the Intelligence Cycle
• A whole of society intelligence approach: critical reassessment of the tools and means used to counter information warfare in the digital age
• Digital Transformation: An Overview of the Current State of the Art of Research

Discussions

• New addition Journal article: Developing intelligence models for the digital era by Shay Hershkovitz (published 29-09-2025) https://doi.org/10.1080/02684527.2025.2565952 [bsky, 0 points, 0 comments]