Public LLMs are powerful, but they are not designed to understand your data sensitivity, compliance obligations, or risk ...

Data masking and anonymization solutions are used by organizations to safeguard sensitive data by removing personal ...

Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

Abstract: The data engineering research community has fiercely felt the requisite for privacy of data of individuals. With technological advancement, every single of action of life is collected and ...

This paper presents Autononym, an AI-powered software platform capable of robustly and scalably anonymizing health data across several formats, including unstructured free-text documents, tabular ...

Recent lawsuits by Dow Jones, the New York Post, the New York Times and Amazon against AI search engine Perplexity ...

On December 24th, GAC received renewed authoritative recognition in vehicle data security by obtaining the industry's first ...

The barrier to AI success is rarely the model or the initiative itself; instead, it’s the content that fuels it.

Questa releases a Privacy focused AI Analytics Assistant that first anonymizes all sensitive information from documents to prevent AI training on them. AI Privacy is not an abstract academic concept ...

A data-minimizing way to research health data is Secure Multiparty Computation. On the successful implementation of the ...

Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...