The Role of GenAI in Enhancing Data Security and Analytics in Modern Software Development

Generative AI (GenAI) is revolutionizing modern software development by enhancing data security and analytics capabilities. This study investigates the role of GenAI in improving threat detection, streamlining data processing, and optimizing predictive analytics. Through a mixed-methods approach, including surveys, case studies, and statistical analysis, the research evaluates the impact of GenAI on key metrics such as security breach reduction, data processing efficiency, and stakeholder understanding. The results reveal that GenAI-enabled systems reduce security breaches by 60.3%, decrease data processing time by 25%, and improve predictive model accuracy by 15.3%. Additionally, GenAI-generated natural language summaries enhance stakeholder comprehension by 35%, while reducing operational costs and energy consumption. These findings highlight the transformative potential of GenAI in building secure, efficient, and intelligent software systems. However, the study also identifies challenges, including ethical considerations and the need for robust infrastructure, that must be addressed to fully realize GenAI's benefits. By demonstrating significant improvements in data security, analytics performance, and cost efficiency, this research underscores the strategic importance of integrating GenAI into software development practices. As organizations increasingly prioritize digital transformation, GenAI emerges as a critical enabler of innovation, sustainability, and competitive advantage in the data-driven era.