Articles

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...

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.

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.

Will ChatGPT Put Data Sharing at Risk?

Large language models (LLMs) have emerged as transformative tools, reshaping the landscape of natural language processing and understanding.

4 Ways Organizations Can Think About Data Sharing

Here are four micro-stories showcasing how our clients are safely and effectively unlocking value from structured and unstructured data.

Good Governance for Anonymized Data

Anonymized data can be a valuable resource for advancing research and achieving socially and organizationally beneficial outcomes.

Advancing Privacy-Enhancing Technologies

There is a tremendous opportunity to use data safely and responsibility to the benefit of people and society.

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