Snowflake , the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, new agentic AI innovations that bridge the gap between enterprise data and business action, ...

While enterprise AI presents opportunities to achieve business goals in a way not previously conceived, one should also understand and mitigate potential risks associated with its development and use.

Can you use open-source tools to mask sensitive production data for use in testing and development? We explore the available options and weigh the pros and cons of relying on DIY data masking ...

These companies are investing heavily in developing advanced data masking tools that support both static and dynamic data masking techniques. They also focus on building strong partnerships with major ...

The data-level requirements for covered data must include: Data minimization and data masking strategies ... it no longer “covered”) through techniques like pseudonymization or de-identification.

While a range of security techniques have emerged to meet regulatory and ethical challenges and needs, today we will discuss two of the most common approaches—masking and encryption—and compare them ...

In this article, we’ll understand the nuances of data masking and explore state-of-the-art techniques, AI and Machine Learning, compliance with regulations, and tips for its practical implementation ...

It helps for testing new medical systems, training AI models. Also helps in conducting research studies or performing analytics. Data masking techniques like substitution and shuffling transform ...

The original data's format and usefulness are maintained. This guide covers all you need to know about advanced masking techniques. We'll discuss the types of available, essential methods like ...