AI and data governance depend on data foundations that are trusted, explainable, policy-aware and continuously governed.

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

AvePoint has launched Kinetic Classification, a capability that continuously evaluates data sensitivity across the data lifecycle as organizations expand ...

According to a new Forrester report on data classification and discovery, “This is a foundational capability to develop to optimize your efforts for security, privacy and compliance. You can’t protect ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

The addition of LLM to Sentra’s classification engine allows scanning and classifying sensitive enterprise data like source codes, and employee details. Classifying sensitive unstructured data like ...

The improved Data Classification module contains Worksheet, Wizard Pages, and more, serving as a consolidation of the aforementioned features, making it easier and more efficient to classify data.

The federal government’s tendency to over-classify data is harming national security and “erodes the basic trust that our citizens have in their government,” said Avril Haines, U.S. director of ...

While the responsibility to classify data rest with the data steward there are some predefined types of sensitive and restricted/PHI institutional data. Based upon state, federal, and contractual ...