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 ...

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, ...

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.

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 ...

PRESIDENT Ferdinand Marcos Jr. has issued Executive Order (EO) 119 to update the government’s decades-old data classification system, supporting the country’s digital transformation, Malacañang said.

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

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 ...

Using confidentiality, integrity, and availability to classify data. To determine the level of protections applied to a system, base your classification on the most confidential data stored in the ...

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 ...

CrowdFlower, a startup that helps businesses outsource mundane or repetitive tasks to the cloud, has raised $7 million in new funding led by Harmony Partners with Trinity Ventures and Bessemer Venture ...

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