The rapid evolution of social media has transformed the digital landscape into a "borderless web," dissolving traditional geopolitical frontiers and creating a porous environment where state and non-state actors engage in unprecedented levels of mutual surveillance. This paper investigates the dual-use nature of social platforms—tools designed for connectivity that have been weaponized into sophisticated engines for digital espionage. We analyze how emerging technologies, specifically Generative AI (GenAI), Deepfake synthesis, and automated reconnaissance, have lowered the barrier to entry for espionage, enabling high-fidelity social engineering at a machine-driven scale. Reactive security models are increasingly obsolete against these "machine-speed" threats, which exploit the inherent trust and data surplus of social ecosystems. To mitigate these vulnerabilities, this paper proposes the Real-Time Adaptive Intelligence &Defence (RAID) Framework. Unlike static defences, RAID integrates:

• AI-Powered Behavioural Analytics: To detect non-linear patterns of intrusion and social engineering in real time.
• Predictive Game-Theoretic Modeling: To anticipate attacker trajectories and dynamically reconfigure security protocols.
• Automated Micro-segmentation: To isolate compromised data streams instantly upon threat detection.

The study concludes that as the web facilitates borderless interaction, national security must shift from a "perimeter-defence" mindset to a "continuous-verification" model. The RAID framework provides a proactive architecture capable of safeguarding national and individual integrity in an era of transparent borders.