When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

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 ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

The next wave of cloud evolution will center on converged data security platforms—architectures that unify policy enforcement ...

The resulting statistics about data sensitivity can be utilized for regulatory compliance, policy formulation or enforcement, data protection, forensic investigation, risk management, evidence ...

Data Lifecycle Management is a concept that has been around for a while and the benefits have been mentioned in detail in every article. However, Data Lifecycle Management (DLM) has not been used to ...

Information technology and data constitute valuable Connecticut College assets. The purpose of data classification is to identify college data and it’s sensitivity. In order to protect the security, ...

Enhance Data Security Practices? Have you ever considered the importance of firmly managing Non-Human Identities (NHIs) in your organization’s data security strategy? With digital becomes increasingly ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.