'Handling Sensitive Data: A Primer' pi datasecurity
. This refers to data that does not directly identify an individual but may cause harm if made public. Examples include ID numbers, geolocation, account login information, and genetic information.and applies to any data related to a resident of New York. Additionally, nearly every privacy regulation has some kind of location scope .
With an understanding of the various types of sensitive customer data in mind, we are now ready to begin an assessment process. This assessment will answer the question, “How is my sensitive customer data being handled now?”be handled, it is helpful to take some time to assess how ithandled. To begin, compile a list of customer data that is already being handled and stored.
Lastly, based on the required policies, design or find a technical solution to implement and reinforce those policies.
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