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.
Set Tolerance
Start by setting a target for the level of privacy you wish to achieve.
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.
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.
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.
Prevent identification disclosure by knowing which fields in a dataset are personal identifiers and applying anonymization methods before they are shared.
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.
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.
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
See how Privacy Dynamics targets each cell of your data to achieve your unique privacy treatments
Privacy Target:
Treat:
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