The potential for data analytics to unlock economic opportunities is immense; however, as this potential expands, it also gives rise to new privacy challenges. Data anonymization is a crucial technique in this landscape, ensuring that sensitive information is removed or concealed. This results in anonymous data that can be used without risk of data breaches or authorization requirements.
The implications of a data breach, as discovered by an IBM study, reveal a significant temporal distribution of financial impacts, making data anonymization a critical consideration.
This article has been indexed from DZone Security Zone