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Data Integrity as a Code (DiaC): Best Practices for Organizations

Data integrity ensures the accuracy, reliability, and consistency of data throughout its lifecycle, while data security involves protecting data from unauthorized access, modification, deletion, or theft. It's important to be aware of the impact of controls on data integrity and information systems, as well as measures that organizations can implement to enhance their data integrity and security.

Data Integrity and Risk: A Study in Mitigating Threats and Ensuring Trustworthiness

Data integrity plays a crucial role in data lifecycle management, especially in today's complex and dynamic landscape. Unauthorized access, modifications, data manipulations, and other security breaches are no longer limited to individuals but are also prevalent in organized entities. The study "An Evolutionary Strategy for Leveraging Data Risk-Based Software Development for Data Integrity," published in ISACA Journal, emphasizes the importance of data integrity and the risks associated with its compromise.

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