A data privacy vault is a technology that isolates, secures, and tightly controls access to manage, monitor, and use sensitive data.
In this white paper, we examine PII -- personally identifiable information -- that can be used to identify an individual. This part of your data should be isolated (logically or physically) from the rest of your data and managed differently.
Put your Skyflow vault where you need it and easily satisfy GDPR, Schrems II, BDSG, and other data residency requirements.
In this paper, we take a look at some analytical use cases. We consider scenarios where the data entering your analytics pipeline contains sensitive information and the techniques for reducing or eliminating such risk.
Accelerate your speed of innovation while ensuring data privacy, security and compliance. As easy as an API.
PCI/PII data privacy, security, and compliance, solved with a simple API.
Isolate, encrypt, and protect sensitive PHI and PII data, while enabling secure data use and sharing.
One method to secure sensitive data is tokenization. In this post, we break down what every engineer should know about tokenization – what it is, how and when to use it, the use cases it enables, and more.
Sensitive data can often be found in companies’ log files and database backups. Read on to learn the best practices for keeping sensitive data out of your logs.
Skyflow partnered with DarkReading Research to learn how developers view and interact with current data security challenges.