Data Analytics Security, Compliance, Enterprise Data Protection
Data-centric protection explained: Weighing the different protection methods
Companies are investing more and more into data protection. Compliance rules and regulations require organizations to develop sound security strategies in order to protect their valuable data assets and data privacy, lowering the impact of breaches.
Classic data protection technologies like encryption or hashing have a long history as a means of protecting sensitive data. Newer technologies, like tokenization, have only recently come into focus. Given the multitude of options, companies struggle to fully understand the differences, commonalities, and implications of encryption, tokenization, and other protection techniques and the broader system architecture and context they are used in.
Learn more about:
- The concept of Data-Centric Security
- Protection Methods and their Use Cases
- How to start with data-centric security