Evolving Threat Landscapes: A Multi-faceted Diagnosis Model for Countering Digital-Age Menaces to Vulnerable Targets

Abstract

In an era of increasing digital interconnectedness, the vulnerability of public spaces—or 'soft targets'—has expanded from the physical to the digital realm, giving rise to the complex phenomenon of the 'e-threat'. Traditional security paradigms are often ill-equipped to address these diffuse, data-driven menaces that exploit the convergence of our online and offline lives. This paper introduces a multi-faceted diagnostic model designed to navigate this evolving landscape. Our framework is built upon the critical triangulation of three interconnected planes: a theoreticalplane that conceptualizes the nature of modern threats; an empirical plane that leverages artificial intelligence and advanced data analytics for proactive detection; and a crucial normative plane that embeds ethical principles, human rights, and legal frameworks at the core of any technological application. By analysing  the tension between technological capabilities and societal values — drawing on real-world initiatives like the APPRAISE Project with MARPLE — this work argues that effective security is not a zero-sum game. Ultimately, the model demonstrates that safeguarding soft targets against digital-age menaces requires a holistic synergy between technological innovation and an unwavering commitment to democratic governance and the Sustainable Development Goals, ensuring a future that is both safe and free.