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Strategic Opportunities for Tech Middle Power Collaboration in AI-Driven Cybersecurity

  • Daniel Cohen,
  • Amir Yosef Elalouf

摘要

This article examines strategic collaboration opportunities among tech middle powers in developing AI-driven cybersecurity capabilities as a response to intensifying technological bipolarity. As artificial intelligence (AI) transforms cybersecurity through advanced threat detection, automated response systems and predictive analytics, the enormous computational and financial requirements create significant barriers for countries seeking technological independence. This article introduces the Technology-Manufacturing-Investment Triangle (TMI) as an analytical framework for understanding how tech Middle powers can leverage complementary national strengths to achieve technological advantages through coordinated action. The framework explains how strategic partnerships generate capabilities exceeding the sum of individual national contributions. Through analysis of the Crystal Ball initiative joint Israeli-United Arab Emirates threat intelligence platform now serving dozens of Counter Ransomware Initiative member nations, the article demonstrates how tech Middle power collaboration creates technological interdependence that enhances cyber resilience while fostering digital self-reliance. The research contributes theoretical insights into middle power technological cooperation and provides empirical evidence for collaborative approaches to AI infrastructure development that can reshape global technological governance beyond traditional bipolar dynamics.