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 ...

The purpose of this standard is to provide the University community with a framework for securing information from risks including, but not limited to, unauthorized use, access, disclosure, ...

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 ...

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 sovereignty is a hot topic. For commercial and public sector organisations, compliance to ensure personal data is secure is a primary objective. And that means it cannot be subject to foreign ...

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 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 ...

This Policy serves as a foundation for the University’s data security practices and is consistent with the University’s data and records management standards. The University recognizes that the value ...