The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...

An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today Seclore, the leading provider of data-centric security solutions, announced the release of new Digital Asset Classification and Risk Insights capabilities ...

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 ...

Protection of Category 1 – Restricted Data is required by law or regulation. The loss of confidentiality, integrity, or availability of the data or system could have a significant adverse impact on ...

Modern approach to DSPM has one glaringly clear weak spot, neglecting a key aspect of enterprise data usage: the fact that ...

Data security solution startup Metomic Ltd. today announced a new solution that makes it possible to discover, classify and secure sensitive data at large scale across Google Workspaces. The new Data ...

CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...