adatmaszkolással

Adatmaszkolás, also known as data masking or data obfuscation, is a process of replacing sensitive data with altered, non-sensitive equivalents. The primary goal is to protect sensitive information while still allowing data to be used for testing, development, analytics, or training purposes. It is a crucial aspect of data privacy and security, particularly in compliance with regulations like GDPR or CCPA.

There are various techniques used in adatmaszkolás. Substitution involves replacing original data with realistic but fictitious data from a predefined set. Shuffling or permutation rearranges existing data within a dataset, maintaining its statistical properties but breaking the link to the original records. Nulling out or deletion removes sensitive data entirely, leaving empty or placeholder values. Aggregation involves summarizing data to a level where individual records cannot be identified. Encryption can also be used, though it is often considered a separate but related security measure, as it requires a key to decrypt the original data.

The choice of masking technique depends on the specific data, its intended use, and the required level of security. For instance, a company might mask customer names and addresses in a development database to prevent accidental exposure of real customer information during software testing. Adatmaszkolás ensures that while the data appears realistic, its resemblance to the original sensitive information is minimized or eliminated, thereby safeguarding privacy.