Analyze. Anonymize. Utilize.

Got four minutes? That’s all the time you need to anonymize a few million rows of data.

Iterative Risk-Based Treatment

The magic behind our anonymization process is the malleable nature of the tool.

1.

Set Tolerance

Start by setting a target for the level of privacy you wish to achieve.

2.

Measure Risk

Next, Privacy Dynamics runs your dataset through an attack simulation to determine the existing level of privacy risk in the data when presented with common attack vectors.

3.

Anonymize Data

After comparing measured risk against your privacy goals, Privacy Dynamics executes a treatment plan to achieve the optimal result for data privacy and utility.

4.

Deliver Data

After data is anonymized, the privacy-safe data is written directly to the user's destination of choice. Read more about data connections.

We’ve become the privacy experts so that you don’t have to.

ABOUT THE TOOL

Data Publishing
& Sharing

Prevent identification disclosure by knowing which fields in a dataset are personal identifiers and applying anonymization methods before they are shared.

Marketing and Business Intelligence

Precisely transform data to address privacy risk while leaving safe records alone. The result is highly accurate, reliable datasets that meet even the most stringent privacy standards, such as HIPAA and CCPA, while minimizing the use of personal information in order to satisfy GDPR requirements.

Developer Automation at Scale

Improve data decisions with a unified solution that enables seamless integration, letting you smoothly copy production data to developer environments that can be used for user acceptance testing, AI training, and machine learning models.

Out-of-the-Box Integration

Privacy Dynamics integrates with your existing tech stack without any custom setup required. Easily connect our system to your data and begin running the tool in minutes.

  • Coming soon

  • Coming soon

How it works

See how Privacy Dynamics targets each cell of your data to achieve your unique privacy treatments

Privacy Target:

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Treat:

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