Data Defense Maintaining data quality is just one of the aspects of good data defense – minimizing the risks to a company that arise from its data. This also includes ensuring compliance with regulations, using analytics to detect and limit fraud, and building systems to ensure the security and integrity of the data. Data integration systems must be robust and secure, and contribute to the overall defense of the data. Legislative compliance is a particular issue. Integrated data may contravene privacy or other legislation. Consequently, it may need to be further processed (e.g., anonymized) before it can be used, or perhaps even restructured to accommodate potentially costly legal requirements such as data subject access requests.