February 27, 2020

SiliconANGLE: Enveil Bets On Homomorphic Encryption To Allow Data Sharing

Keeping data encrypted and secure during use is the goal of startup company Enveil, which uses homomorphic encryption technology.

Ellison Anne Williams RSA 2020 | SiliconANGLE: Enveil Bets On Homomorphic Encryption To Allow Data Sharing | Enveil | Encrypted Veil

Excerpt from the article:

Encryption is a well-known solution to avoid sensitive data exposure in times of privacy and security concerns. But encryption is only generally available for data at rest and data in transit, leaving the third state of data (data in use) potentially exposed.

Keeping data encrypted and secure during use is the goal of startup company Enveil Inc., which uses homomorphic encryption technology.

“This represents a new commercial market,” said Ellison Anne Williams (pictured), founder and chief executive officer of Enveil. “We are seeing things like enabling secure data sharing and collaboration or enabling secure data monetization because of its privacy preserving and privacy enabling capability.”

Williams spoke with John Furrier, host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the RSA Conference in San Francisco. They discussed how homomorphic cryptography can help companies protect their data, Enveil’s experience with the financial market, and its perspective for the healthcare industry.

Read the full article.

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Enveil is a pioneering Privacy Enhancing Technology company protecting Data in Use. Enveil’s business-enabling and privacy-preserving capabilities change the paradigm of how and where organizations can leverage data to unlock value. Defining the transformative category of Privacy Enhancing Technologies (PETs), Enveil’s award-winning ZeroReveal® solutions for secure data usage, sharing, collaboration, and monetization protect data while it's being used or processed. Customers can extract insights, cross-match, search, and analyze data assets at scale without ever revealing the content of the search itself, compromising the security or ownership of the underlying data, or exposing their interests and intent.
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