In today's dynamic business environment, startup companies face numerous challenges in data management, making data protection crucial for their stability and growth. This thesis provides a comprehensive overview of strategies and technologies for preventing data loss within startup environments, aiming to identify effective practices and solutions to minimize risk. The study thoroughly examines the development and characteristics of startup companies, including their specific challenges and culture, and analyzes data threats and security strategies. Special emphasis is placed on data loss prevention (DLP) methods, including backup tools, data recovery, and protection against internal and external threats. A case study of „Rimac Automobili“ illustrates the implementation of data protection policies within the context of an innovative startup, demonstrating how regulatory requirements can be met and security practices improved. The methodological framework includes an analysis of existing research, definition of research objectives, use of various research techniques, and evaluation of results. This work provides guidelines for enhancing data protection in startup companies, contributes to understanding security challenges, and offers recommendations for improving security practices.