Blog
Category: Tokenization
Data Tokenization and Masking with Baffle in Amazon Redshift
Security and compliance for sensitive data in your cloud data pipeline and warehouse while running data analysis.
Launch of Baffle Manager v2
Baffle is constantly striving to be the easiest way to protect sensitive data. We do this with a data-centric approach that protects data as it…
Enterprise considerations for implementing data encryption
Organizations are accelerating plans for data encryption, driven by increased security, privacy, and cloud workload protection requirements. However, there are a few different approaches to…
Is Tokenization a Good Way to Protect Your Data?
This blog looks at the functionality of vault-based data tokenization methods and some key data protection challenges in using such approaches in cloud security and modern compute…
Risk Acceptance and Security Trade-offs: Managing Performance vs. Security
I recently read a note by someone discussing the futility of having engineers focus on performance cycles in order to optimize data encryption operations, and…
Why data tokenization is insecure
(Why you can’t stop data breaches – Part II) This blog, the second in a series on “Why you can’t stop data breaches,” details various…