Articles

Articles | April 7, 2026
Trusted Third Parties and Honest Brokers Definitions and Benefits

The explosion of interest in AI technology in healthcare has been inescapable, bringing with it a skyrocketing appetite for health data from all sources...
Articles | February 26, 2026
Advanced Approaches for Free-Text De-identification

Demand for de-identified free-text data has been steadily increasing as organizations seek to drive research, product development, and organizational...
Articles | January 21, 2026
Maximizing Data Value with GDPR Anonymization or HIPAA De-identification

If your organization is focused on maximizing data value, while also protecting data as a core asset, you may be on the horns of a privacy dilemma. Why?
Articles | February 27, 2025
7 Questions to Evolve Your Privacy Strategy

Imagine if every time you wanted to drive your car, you had to inspect and reinstall the seatbelts, airbags...
Articles | February 6, 2025
3 Core Steps to Developing a Robust Privacy Strategy

Patient, device, or other protected data has emerged as an invaluable resource for many organizations in their quest to develop novel and innovative products and offerings.
Articles | January 13, 2025
How Context Affects Anonymization in AI Model Development

Building an AI model can require large amounts of data about people, and this data needs to be appropriately handled and managed.
Articles | December 9, 2024
Data Privacy, AI, De-identification, and Anonymization: Putting It All Together

In 2024, we shared several short articles about de-identified or anonymized data. Here, we take a look at how they intersect.
Articles | October 4, 2024
Why Context Matters When Anonymizing Data

If you’ve been involved in anonymization projects (such as Expert Determinations under HIPAA), you may have been asked to describe the data context in detail: ...
Articles | October 3, 2024
How to Work Safely with Unstructured Text Data

Unstructured data sources—including text, images, audio, and video—are rich sources of information.
Articles | September 9, 2024
Data Privacy Considerations for DICOM Anonymization

Across industries, demand for medical images is on the rise. This is due to increased use cases, such as AI, which can support applications for diagnostics

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