Ellison Anne Williams, CEO and Founder at Enveil

CEO and Founder at Enveil

Dr. Ellison Anne Williams is the Founder and CEO of Enveil, the pioneering data security company protecting Data in Use. Building on more than a decade of experience leading avant-garde efforts in the areas of large-scale analytics, information security, computer network exploitation, and network modeling, Ellison Anne founded the startup in 2016 to protect sensitive data while it’s being used or processed — the ‘holy grail’ of data encryption. Powered by homomorphic encryption, Enveil’s award-winning ZeroReveal® solutions provide Trusted Compute in Untrusted Locations™, enabling previously impossible business functionalities for intelligence-led decision making. Leveraging her deep technical background and a passion for evangelizing the impact of disruptive technologies, Ellison Anne has helped define and advance the Data in Use security space and cultivated Enveil’s capabilities into category-defining solutions that enable secure search, analytics, sharing, and collaboration. In addition to her ongoing contributions as a cybersecurity mentor and thought leader, Ellison Anne has been recognized as an SC Media Reboot Leadership Innovator Award winner, a Woman to Watch in Security, and a CyberScoop Leet List Honoree. She started her career at the U.S. National Security Agency and holds a Ph.D. in Mathematics (Algebraic Combinatorics), a M.S. in Mathematics (Set Theoretic Topology), and a M.S. in Computer Science (Machine Learning).

Keylock hologram on a city night view showing Privacy Enhancing Technologies (PETs)

Data Privacy Insights

Time To Dispel Myths Surrounding Privacy Enhancing Technologies

October 10, 2022

Given the recent focus on the capabilities enabled by Privacy Enhancing Technologies (PETs), it will be helpful to understanding the basic components of the category. There are also a number of myths and misconceptions about PETs that are being perpetuated in the market.

Businessman using tablet,with brain icon showing use of Privacy Enhancing Technologies for privacy preserving machine learning

Data Privacy Insights

Unlocking Value With Privacy-Preserving Machine Learning

July 15, 2021

When leveraged for machine learning applications, Privacy Enhancing Technologies (PETs) manifest as Preserving Machine Learning (PPML) to ensure that privacy is both protected and prioritized when building and utilizing models.

Lock on wooden table showing what organizations need to know about privacy enhancing technology before putting it to use

Data Privacy Insights

What’s Old Is New Again: Examining Privacy Enhancing Technologies

May 25, 2020

Use of privacy enhancing technology is becoming increasingly critical and especially in industries where accelerating regulations are limiting business functions.

Time To Dispel Myths Surrounding Privacy Enhancing Technologies

Unlocking Value With Privacy-Preserving Machine Learning

What’s Old Is New Again: Examining Privacy Enhancing Technologies

Navigating the Data Privacy Landscape in 2023

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