HOLISTIC CYBERSECURITY FRAMEWORKS FOR REAL-TIME DATA ANALYTICS IN CLOUD PLATFORMS: ENSURING END-TO-END PROTECTION

This article explores the critical intersection of cloud computing, real-time data analytics, and cybersecurity in the context of digital transformation. It examines the rapid growth of cloud technologies and their impact on data management across various industries. The article highlights the benefits of real-time data analytics in cloud environments, particularly for sectors like finance, healthcare, and e-commerce. However, it also addresses the unique cybersecurity challenges that arise from this integration, including data breaches, unauthorized access, DDoS attacks, and advanced persistent threats. The article proposes a comprehensive, multi-faceted cybersecurity framework to address these challenges, incorporating zero-trust security models, advanced encryption techniques, machine learning for anomaly detection, micro-segmentation, and automated threat intelligence. Through analysis of industry reports, case studies, and statistical data, the article provides insights into the effectiveness of these security measures and their potential to safeguard sensitive information in dynamic cloud environments.