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10 Best Practices for Re-identification Risk Determinations

Re-identification Risk Determinations (RRDs) are assessments where an expert applies generally accepted statistical methods to determine how identifiable individuals are in a dataset.

An Integrated Approach to Securing AI

As artificial intelligence (AI) continues to expand across various sectors, securing these systems against potential threats has become increasingly important...

A Blueprint for Defensible AI

The rapid evolution of artificial intelligence (AI) and emerging regulations has created the demand for robust frameworks...

Navigating AI by Evaluating Readiness

In the rapidly advancing world of Artificial Intelligence (AI), organizations are facing the challenges of integrating AI into their operations

Learn the Basics of Data Tokenization and Linkage

Increasingly, organizations are looking to link different data assets at the level of specific people to drive benefits for both business and society.

Anonymization at Scale: From Dataset to Pipeline

In the evolving landscape of data enablement, the need to leverage data for driving efficiency, spurring innovation, and fostering collaboration has never been greater.

Differential Privacy and Risk Metrics

Sensitive data can be reused in many ways to improve healthcare services, uncover new insights and opportunities...

Managing Risks Associated with Linking De-identified Datasets

When linking datasets from different sources to build out a rich and detailed data lake, some less obvious privacy and compliance impacts can arise, even if the datasets being linked are ...

Understanding Re-identification Risk when Linking Multiple Datasets

Many healthcare organizations pool datasets from different sources to build a more complete picture of a patient’s health and treatment.

3 Questions Healthcare Provider Organizations Need to Consider when Implementing Pixel Tracking Technologies

Online tracking technologies, such as pixels, have become a common feature of the modern web and app ecosystem. Pixels and other online tracking technologies...

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