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 ...

With constant regulatory scrutiny and data breaches on the rise, companies of all industries and sizes are under pressure to get their data management and security strategies in tip-top shape. Yet, an ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

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 ...

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, ...

All college data are classified into levels of sensitivity to provide a basis for understanding and managing college data. Accurate classification provides the basis to apply an appropriate level of ...

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, ...

Classifying, structuring data is key to unlocking the full value of BIM. It makes data easier to understand, ensuring accurate and timely budgeting, planning, building, and management of a given asset ...

Ntropy, a company offering an API that enriches transaction data for financial services businesses, today announced that it raised $11 million in a Series A round led by Lakestar with participation ...

Ntropy, a company offering an API that enriches transaction data for financial services businesses, today announced that it raised $11 million in a Series A round led by Lakestar with participation ...