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Data Minimization

Reduce your data attack surface to minimize cyber risk

The more data you have, the bigger the target on your back and the bigger the bill for its storage. Best practice is to practice data minimization. Only keep necessary data — for legal, regulatory, or business purposes — and delete unnecessary data to reduce overall risk and cost. 

  • Identify data that is kept outside of best practice or regulatory timeframes 
  • Identify redundant, obsolete, and trivial (ROT) data across your data estate so you can remove it from your data footprint 
  • Reduce the attack surface of your data, to reduce your risk in the event of a breach

Graphic depticting capabilities of data minimization in the OneTrust platform

Demonstrate your commitment to privacy 

Data minimization is a fundamental principle of the responsible use of data. By only keeping necessary data that you have a business need and consent for, and only keeping it as long as is necessary, you help maintain customer trust and minimize the potential privacy consequences of data misuse. 


Keep your data footprint under control 

Easily understand the age of files with file and data aging dashboards. Quickly pinpoint data that is likely unused or irrelevant to the business and action it for archiving or deletion. And don’t waste storage resources (or cloud costs) on things like TMP files, duplicates, or forgotten data.

Graphic depicting three separate documents flagged "obsolete", "Trivial" and "Redundant"

Analyze your data to understand where and what personal, financial, health, or otherwise sensitive data you have in your data estate. Use this catalog as the basis of your data governance, privacy, and data security programs, and tie it to your data map. 

Interface that allows users to search their data catalog with a variety of filters.

Stale, duplicate, or unauthorized data can mean poor business decisions or even regulatory fines. Remove out-of-date data from production environments, ensuring your data teams have access to only the most accurate and available data to make sound business decisions.

Graphic depicting a graph labeled "Age of Data in Customer Database" with a chart showing data less than 12 months old, 12-24 months old and older than 24 months old with the first being the largest

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