Companies looking to adopt data minimization best practices should begin by asking themselves why they need the data they have collected. As appropriate, policies should be redesigned to ensure the collection and retention of only the minimum amount of information. Credit: Connect world/Adobe Stock

You don't have to protect what you don't have.

It's a fairly obvious idea, though it's a somewhat opposite perspective to most of the cybersecurity recommendations espoused here in the United States. But as it becomes more and more challenging for IT teams to ensure that their organizations' data remains safe from cybercriminals, perhaps it's time for U.S. companies to give the European practice of data minimization another look.

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What, Exactly, Is Data Minimization?

Data minimization is a common principle of European privacy that has not until now been an American approach. It is a practice that puts the focus on data governance—being intentional about what data you want to collect so that your organization is not "overcollecting." Determine what data you must have to run your business, data minimization experts advise, and simply don't collect or keep anything else.

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