Quality and Security are two major issues in Big Data that pose many challenges. High volume, heterogeneity and high speed of data generation and processing are, amongst others, common challenges that must be addressed before setting up any data quality management system or data security system. This document provides an overview of data quality and data security in a Big Data context and highlights the conflicts that may exist during the implementation of these systems. Such a conflict makes the setting up of such systems even more complex and the reflection into new solutions becomes a major prerequisite. In this paper, we consider these challenges to present a global solution to evaluate the quality of data without impacting data security and without it becoming a barrier.