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Digital Guardian's Blog
A new framework from Saudi Arabia's National Data Management Office (NDMO) is aiming to simplify privacy and compliance in the country.
In this blog, we ask six data protection experts how modern organizations can protect their data now and in the future.
Data classification and DLP tools can certainly serve as standalone solutions, but when paired together, organizations can truly benefit from what the solutions have to offer.
Implementing a DLP policy can help put safeguards around data in your organization. In this blog, we walk you through the steps to creating an effective DLP policy, including how to outline specifications around data classification, handling, and discovery.
There's no shortage of data that can be classified. To help you build an effective data classification policy, we look at 50 different examples of data classification.
Getting personally identifiable information (PII) classification right is one of the first steps to having an effective data protection strategy. We break down four best practices in this blog.
Having a data classification matrix, part of a comprehensive data classification policy, can help organizations better determine the risk level of data.
When it comes to classification, not all data needs to be treated the same way. There are five common categories that organizations can follow.
How do you classify data in your organization? Conducting a data risk assessment and keeping compliance regulations top of mind are some of the first steps to helping an organization protect its data.
To gain some insight into the most common pitfalls companies face when it comes to discovering and properly classifying data, we reached out to a panel of data scientists and security leaders.