Ben Kereopa-Yorke operates at the nexus of AI security governance and cyber risk quantification, where his research intersects dynamical systems theory, game theory, and complex systems mathematics. His work explores novel approaches to modeling AI risk through the lens of chaos theory and non-linear dynamics, while his broader academic interests span sociotechnical systems, computational linguistics, quantum computing, information warfare theory, epistemology, and the philosophical implications of artificial consciousness. As a Senior Security Specialist and AI/ML Security SME at Telstra, alongside his role as a core team member of the OWASP Machine Learning Security Top Ten, his work bridges academia and industry in addressing emerging AI security challenges. Currently pursuing a Master's at UNSW Canberra, Ben is passionate about fostering interdisciplinary approaches to security research and mentoring the next generation of security professionals through various industry initiatives. Looking ahead, he envisions a future where AI security frameworks are deeply integrated with ethical considerations and human values, drawing from diverse fields including philosophy, sociology, and cognitive science. He is committed to developing novel mathematical frameworks for quantifying AI risk that can adapt to emerging technological paradigms, while ensuring these advances benefit humanity equitably.