Articles

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...

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?

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...

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.

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.

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.

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: ...

How to Work Safely with Unstructured Text Data

Unstructured data sources—including text, images, audio, and video—are rich sources of information.

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

Motivated Intruder Testing – What, How, and Why?

Many organizations are familiar with statistical assessments of identifiability, like Expert Determinations under HIPAA or anonymization assessments under other regulations like the GPDR.

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