A: No new regulations were published in 2025 specific to data integrity. The evolving global regulatory systems do, however, ...

When designing a system an architect must conform to all three corners of the CIA (Confidentiality, Integrity and Accessibility) triangle. System requirements for data confidentiality are driven not ...

There are two important, yet different aspects of integrity with respect to databases: database structure integrity and semantic data integrity. Ensuring that each database object is created, ...

A holistic data integrity approach can help one avoid missteps in data integrity. Given the rapid advances being made in technologies such as cell and gene therapies, personalized vaccines, and oral ...

Want to improve the integrity of your data? Place constraints in the database, as well as in your application. NoSQL, the catchall phrase for non-relational databases, is all the rage among Web ...

There’s no doubt that artificial intelligence (AI) and machine learning (ML) are increasingly important to organizations seeking competitive advantage through digital transformation. More than 75% of ...

The US Food and Drug Administration (FDA) on Wednesday finalized its questions and answers guidance on complying with data integrity requirements under current good ...

As emphasis grows on managing data in pharmaceutical labs and plants—collecting and storing it, sharing it, mining it for pertinence—a basic question often goes unanswered: Is the data any good? The ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.