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 ...

TO minimize the risk of sensitive government data being leaked online, President Marcos created a new oversight committee for the three-year initial implementation of an updated government data ...

PRESIDENT Ferdinand Marcos Jr. has issued Executive Order (EO) 119 to update the government’s decades-old data classification ...

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 ...

New Joint Solution Bridges Data Discovery and Persistent Enforcement, Automating Classification-to-Encryption for Federal Agencies and Regulated Enterprises ...

Effective data protection hinges on data classification and risk assessment. This article explores how classifying data based on sensitivity enables targeted security measures and efficient resource ...

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, ...

Data clustering and classification have become indispensable for extracting actionable insights from large-scale, heterogeneous datasets characterised by high volume, velocity and variety. Clustering ...

Imagine an employee asking a generative AI assistant to summarize internal documents before a meeting. To provide context, the employee pastes excerpts from customer records, financial reports and ...

The purpose of this standard is to assist Users, Stewards, Managers, and Information Service Providers in identifying what level of security is required to protect data for which they are responsible.