Data Minimization – Reduce Privacy Risk

Data Minimization – Identify the Right Data Assets

One of the core privacy principles is to minimize the collection and processing of personal data. Organizations must only collect, use, and store data that is necessary to accomplish specific purposes. Data minimization can significantly reduce threat surface areas and risks.

Our solution lists all the data that is never been used and poses risk to your organization. Our platform uses AI/ML to map your data, identify sensitive data, and analyze data activities to identify the right data assets that must be minimized.

data minimization

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Reduce your data privacy and security risks

We can help you address your concerns to improve your privacy and security posture.

“Do we periodically review the data that we hold?”

“Are we regularly deleting the data that we don’t use?”

“Do we track the specific purpose for which we collect personal data?”

Designed for Big Data

Our solution scans across multiple data repositories including big data cloud storage to identify sensitive data. Creates a detailed map of your data.  


To determine what data is necessary and relevant, our solution analyzes data use and activities.  

AI/ML and Privacy Engineering

Applies AI/ML models and privacy engineering to identify the potential list of data assets that can be deleted/archived.

Download Free eBook on Data Minimization Steps and Checklist

Privacy Laws Enforce Data Minimization

Not only ‘Privacy by Design’ approach recommends data minimization, but also GDPR enforces data minimization.

GDPR Article 5(1)(c)

“1. Personal data shall be: (c) adequate, relevant and limited to what is necessary in relation to the purposes for which they
are processed (data minimisation)”

Example: Taxa 

Denmark’s data protection authority performed an audit of taxi company Taxa. Danish DPA fined Taxa for violating Article 5 of the GDPR in three ways: purpose limitation, data minimization, and storage limitation.