The growth of data brings a wealth of knowledge and insights that enhances business in countless ways, however, with great power comes great risk. Lack of data security can not only result in financial losses, but can also hamper the reputation of organizations, thereby leading to potential legal consequences. Preventing data from unauthorized access is a cause of concern for the data scientists from across the globe. It is a big challenge to protect the integrity of data as it moves through different stages of analysis – input, processing and output. We have compiled 5 security best practices that can reduce the risks associated with data.