Description: Genuine anonymization is a process that effectively seeks to protect individuals’ identities in data while ensuring that the utility of the information remains intact. This approach relies on techniques that remove or modify personal data in such a way that individuals cannot be identified from the anonymized information. Unlike pseudonymization, where data can be reverted to its original form using a key, genuine anonymization is irreversible, meaning there is no way to re-associate the data with the individuals to whom it belongs. This process is fundamental in the context of data protection, especially with the growing concern for privacy in the digital age. Genuine anonymization allows organizations to use data for analysis and studies without compromising individuals’ identities, which is crucial in various sectors, including medical research, market analysis, and artificial intelligence. By ensuring that data cannot be traced back to a specific person, a safer and more ethical environment for handling sensitive information is fostered.
