Data tokenization is a method used to protect sensitive information by substituting it with unique identifiers known as tokens.

With the demand for data security growing, tokenization and encryption offer robust protections. Learn more about each form of security below.

Autonomous vehicles, smart medical devices, retail security systems and other edge devices require real-time reaction speed, ...

Helical founder Eric Hess discusses how homomorphic encryption could change the way data is transferred and processed securely.

Imagine building a banking application: With Queryable Encryption, both the data retrieval and processing steps are encrypted, reducing the steps and potential pitfalls for developers. The promise?

Regardless of the strength of data’s encryption, more and more potential vulnerabilities surface in data security as more people are granted access to sensitive information. However, a relatively new ...

What are the benefits of elastic stream processing? Stream Processors are software platforms which allow users to respond to incoming data streams faster. We apply homomorphic encryption on top of ...

Data encryption refers to the process of transforming electronic information into a scrambled form that can only be read by someone who knows how to translate the code. Encryption was already used ...

Encrypting data provides a critical, last stand for protecting information that becomes compromised. However, improperly implemented strategies can actually create additional vulnerabilities. To ...