Named in Reports focused on Data Security, Privacy, and Data Science
Durham, North Carolina – (August 28, 2023) – Tumult Labs, a differential privacy innovator, today announced that the company has been recognized in three Gartner Hype Cycle™ reports, “Hype Cycle for Data Security, 2023,” “Hype Cycle for Data Science and Machine Learning, 2023,” and “Hype Cycle for Privacy, 2023.” Tumult Labs was named a Sample Vendor in differential privacy across all three reports.
According to Gartner, “Business data holds value and much of it is personal data. Regulations that constrain the use of personal data are increasing, and the liability for misusing personal data can be substantial. Businesses need to ensure their reputation reflects a company that protects customer data. There are many techniques to address problems in preserving privacy when training AI models. Differential privacy ensures the privacy of individual rows of data while supporting meaningful analysis of aggregate data."
Founded by a leadership team that has been at the forefront of differential privacy research and applications since 2008, Tumult Labs has been involved in pioneering implementations of differential privacy at organizations such as the U.S. Census Bureau, Internal Revenue Service (IRS), and The Wikimedia Foundation. By ensuring sensitive data can be shared and leveraged, without compromising the identity of users and their behavior patterns, Tumult’s differential privacy approach comes with rock-solid privacy guarantees that simply cannot be provided by traditional privacy methods such as data aggregation and de-identified data.
“As sophisticated data privacy attacks become more prevalent and privacy regulations evolve, government institutions and enterprise organizations often find themselves facing a dilemma. They can either share sensitive data sets and expose themselves to privacy and security risks or eliminate data from potential analysis and limit the impact on new business opportunities,” said Gerome Miklau, Founder and CEO, Tumult Labs. “Differential privacy ensures organizations have the best of both worlds by sharing sensitive data sets for use and analysis without compromising data privacy. We believe Gartner’s recognition of this technological approach is incredibly validating.”
To learn more about how Tumult Labs is redefining data privacy protection, visit https://www.tmlt.io/.
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About Tumult Labs
Tumult Labs is on a mission to redefine data privacy protection. Founded by a leadership team that has been at the forefront of differential privacy research and applications since 2008, our company helps organizations share and analyze sensitive data without compromising privacy. Customers, including the U.S. Census Bureau, U.S. Internal Revenue Service, and the Wikimedia Foundation, use the Tumult Platform to gain greater value from sensitive shared data and ensure better privacy risk management. For more on how we make it happen, visit https://www.tmlt.io/.