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, ...

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...

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 governance frameworks were built for a world where humans created most data, but AI has changed that equation.

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 ...

Fortra today announced it is pursuing Federal Risk and Authorization Management Program (FedRAMP) High authorization for its data classification capabilities, which will further extend its support of ...

Per UAB’s Data Classification Rule, university-owned data is classified as belonging to one of three tiers, Public, Sensitive or Restricted/PHI (Restricted) Data. Based on the classification ...

DoControl, a leader in SaaS data security, today expanded its platform into data-at-rest classification - combining access ...

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 ...

A data classification policy template gives you a repeatable way to define how your organization labels and protects data, so ...