Leveraging AI and Cybersecurity to Enable Scalable and Secure Solutions for Achieving Global Sustainability in the Age of Digital Transformation

Abstract

The convergence of Artificial Intelligence (AI), cybersecurity, and sustainability is now critical to solving global problems as described by the Sustainable Development Goals (SDGs). The field of AI technologies promises to transform industries such as energy, agriculture, and manufacturing because digital transformation will help to optimize resources and make it more efficient. Nevertheless, the growing use of digital systems is also fraught with serious cybersecurity risks that may sabotage such undertakings. The current paper examines the ways of integrating AI and cybersecurity to achieve scalable, secure, and sustainable solutions that do not contradict SDGs, paying attention to SDG 7 (Affordable and Clean Energy) and SDG 12 (Responsible Consumption and Production). The research method is an empirical one, which involves using AI-based models of energy optimization and resource management and encompasses strong cybersecurity to protect the integrity of data and performance of systems. The practices include studying the energy consumption trends, waste management procedures, and resources distribution by means of AI algorithms, as well as implementing cybersecurity standards, including NIST and ISO/IEC 27001. Among the main findings, using AI and cybersecurity led to a decrease in the use of energy by 18 %, waste by 15 %, and better resource allocation by 10 %. All these results prove that AI can contribute to sustainable practices and guarantee the safety of data. There are significant implications for sustainability and SDG implementation. The principles of secure-by-design and AI governance frameworks should be prioritized by policymakers and leaders in the industry to help generate trust and scalability. This research opens the path to future studies about feasible cybersecurity solutions in low-resource environments and how it could affect the SDG realization in the long term.