Enveil FAQs: Data in Use

When you’re leveraging transformative technologies like Privacy Enhancing Technologies and leading the formation of a new market, you’re bound to encounter some questions. 

In this post we’re addressing two Enveil FAQs: 

• Does your solution protect all my data, all the time?
• Do I need to pool or centralize my data in order to use ZeroReveal?

Looking for more Frequently Asked Questions? Check out our full FAQ page. 

FAQ: Does your solution protect all my data, all the time?

No, we exclusively focus on protecting data while it's being used or processed, also known as Data in Use. This is different from other common forms of encryption, such as those that protect Data at Rest on the file system, or Data in Transit as it moves through the network. You can think of Data in Use as the interaction with the data – we encrypt the search, analytic, or machine learning model itself, as well as the corresponding results, and ensure it stays encrypted throughout the processing lifecycle.

Using Enveil, organizations can securely derive insights, cross-match, and search third-party data assets without ever revealing the contents of the search itself, compromising the security or ownership of the underlying data, or exposing their own interest in the data. You can find more about specific use case here.

FAQ: Do I need to pool or centralize my data in order to use ZeroReveal?

No, we specifically designed our software to support a decentralized approach to data sharing and collaboration since we know that requirements to move or pool sensitive assets are often deal breakers for our customers. Enveil ZeroReveal allows all participating organizations to retain positive control and ownership of their sensitive data assets at all times. We will never ask you to move data to a centralized data lake or repository, an approach that differentiates us from many of our competitors. We enable customers to perform encrypted processing over data where it is and as it is today.

Enveil delivers secure and efficient data usage at scale by allowing datasets to be used in-place across silos and security boundaries, including multi-domain, multi-jurisdiction, and third-party environments, eliminating the need to replicate data into higher-trust systems for processing. This creates workflow efficiencies that deliver immediate cost-savings via reduced resources for data ingest, compute, and storage.