The proliferation of Internet of Things (IoT) devices has revolutionized various industries, offering unparalleled convenience and efficiency. However, the widespread deployment of IoT devices also introduces significant security challenges. Traditional security measures often fall short in adequately safeguarding IoT ecosystems due to their scale, heterogeneity, and resource constraints. Cloud-based security solutions have emerged as promising approaches to address these challenges by providing centralized management, robust authentication mechanisms, and real-time threat detection. Problem Statement: IoT environments are susceptible to various security threats, including unauthorized access, data breaches, and device tampering. Existing security measures are often inadequate to protect against sophisticated attacks targeting IoT devices and networks. Moreover, the resource-constrained nature of many IoT devices limits the feasibility of implementing comprehensive security protocols locally. Thus, there is a critical need for effective security solutions tailored to the unique characteristics of IoT environments and devices. Objective: This research aims to investigate the efficacy of cloud-based security solutions in mitigating security risks associated with IoT environments and devices. Specifically, the study seeks to evaluate the effectiveness of cloud-based authentication mechanisms, intrusion detection systems, and data encryption techniques in enhancing the security posture of IoT ecosystems. Methodology: The research employs a multidisciplinary approach integrating literature review, case studies, and empirical analysis to comprehensively assess the security and privacy landscape in IoTenabled smart cities. Data collection methods include unstructured interviews with domain industry experts and stakeholders to gather insights into current practices and emerging trends in IoT security. The research framework encompasses threat modelling, risk assessment, and the development of proactive security measures. Results: Preliminary findings suggest that cloud-based security solutions offer several advantages for securing IoT environments and devices. Centralized management capabilities enable seamless integration and scalability across diverse IoT ecosystems. Advanced authentication mechanisms, such as multi-factor authentication and biometric recognition, enhance access control and authentication processes. Furthermore, real-time threat detection and response mechanisms facilitate proactive security measures, reducing the risk of potential breaches and intrusions. Conclusion: In conclusion, cloud-based security solutions represent a promising approach to addressing the unique security challenges posed by IoT environments and devices. By leveraging the scalability, agility, and computational resources of cloud platforms, organizations can strengthen the resilience of their IoT deployments against evolving cyber threats. However, further research is warranted to optimize the performance and usability of cloud-based security solutions for diverse IoT applications and use cases.