The integration of Supervisory Control and Data Acquisition (SCADA) systems with Industrial Internet of Things (IIoT) technologies, cloud computing, and advanced cybersecurity measures is reshaping industrial automation. This paper presents a conceptual framework for smart SCADA systems, emphasizing the role of cloud connectivity for real-time monitoring, IIoT for enhanced data acquisition, and cybersecurity to safeguard critical infrastructure. The integration of these technologies enables improved operational efficiency, predictive maintenance, and remote accessibility, fostering more scalable and flexible industrial operations. However, challenges such as data security risks, interoperability, and system complexity remain prominent. The paper discusses theoretical models to address these challenges, proposing strategies for seamless integration and robust security mechanisms. Future trends such as edge computing, AI-driven analytics, and blockchain-based security are also explored as potential avenues for advancing SCADA systems. This paper contributes to the understanding of how these technologies converge to drive the future of industrial automation while addressing the complexities of data integrity and system resilience.