Modern approach to DSPM has one glaringly clear weak spot, neglecting a key aspect of enterprise data usage: the fact that ...

Co-Founder & CEO of SecureCircle, a SaaS-based cybersecurity service that extends Zero Trust security to data on the endpoint. Let's admit the "discover, classify, protect" paradigm is wrong — or, at ...

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 ...

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

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, ...

DataSift aggregates social data from sources like Twitter, Facebook, and blogs and lets you query it via a single API, but making effective use of that data is still a big problem for many ...

All members of the Lycoming College community have a responsibility to protect Institutional Data from unauthorized access, modification, or disclosure and are expected to understand and comply with ...

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 ...

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 ...