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.

Data drives business, but data can be a double-edged sword. How can you limit access to that vital enterprise marketing plan, confidential account database or super-secret research report? On 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 ...

Purdue University academic and administrative data are important university resources and assets. Data used by the University often contains detailed information about Purdue University as well as ...

The University at Buffalo (UB, university) has legal and ethical obligations to ensure that all forms of university data are adequately secured to minimize the risk of unauthorized use or disclosure.

If you’re a data person, or even if you’re not, you may have heard the statistic cited by Eric Schmidt, executive chairman at Google: “There were 5 exabytes of information created between the dawn of ...

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 ...

CIOs and IT directors working on any project that involves data in any way are always more likely to succeed when the organisation has a clear view of the data it holds. Increasingly, organisations ...

Co-Founder & CEO of SecureCircle, a SaaS-based cybersecurity service that extends Zero Trust security to data on the endpoint. If your company is manually classifying any data, you've already lost the ...

Aimed at measuring sensitivity of non-personal data, the move may potentially open up a trove of public sector data—such as ...

Feature selection and classification are central to biomedical data analysis, enabling researchers to distil high-dimensional datasets into manageable, informative subsets and accurately categorise ...