AI, Quantum Computing, and Beyond: Assessing Future Cybersecurity Threats and Risk Management Strategies

Introduction: The rapid evolution of disruptive technologies such as artificial intelligence (AI), quantum computing, and ubiquitous connectivity is significantly transforming the cybersecurity landscape. While these technologies offer transformative societal benefits, they also present novel and sophisticated security challenges. Objective: This study aims to explore the emerging cybersecurity threats driven by technological innovation and to assess how existing risk management frameworks can adapt to these evolving risks. Method: A systematic review of current literature, threat intelligence reports, and policy documents was conducted. The analysis focused on identifying future threat trends, evaluating technological forecasts, and uncovering gaps in existing cybersecurity strategies. Results: The findings reveal increasing vulnerabilities associated with AI-driven cyberattacks, the future impact of quantum computing on encryption, and the complexity of threat vectors in hyper-connected environments. Moreover, deficiencies in current frameworks and workforce preparedness were identified as critical barriers to effective risk mitigation. Conclusions: Proactive, interdisciplinary, and adaptive strategies are urgently needed to secure the digital future. The study highlights the importance of global collaboration, upskilling cybersecurity professionals, and deploying AI-enhanced defense mechanisms to address emerging threats.