This article from Intelligence Community News highlights the capabilities of our new ML product.
Enveil of Washington, DC announced on April 14 the release of its encrypted machine learning product, ZeroReveal Machine Learning, the first adaptable, market-ready solution allowing organizations to process data against an encrypted machine learning model. Building on the success of its ZeroReveal Search solution, Enveil ZeroReveal ML fundamentally changes the paradigm of secure data usage by allowing organizations to enable advanced decisioning through collaborative and federated machine learning in a secure and private capacity.
ZeroReveal ML ensures that machine learning models, and the associated results, remain encrypted throughout the entire evaluation lifecycle. This enables enterprises to leverage machine learning models to securely and privately derive insights from data sources across jurisdictional, third-party, and organizational boundaries, even when using highly sensitive or proprietary models, including those trained on regulated data. The ability to securely evaluate a machine learning model against distributed intra- and inter-organizational data sources opens the door to a number of use cases in the financial services, retail, manufacturing, healthcare, and government verticals where enhanced risk-based decision making drives positive business outcomes.
“Organizations increasingly rely on machine learning to generate insights, make predictions, and improve decisioning,” said Dr. Ellison Anne Williams, founder and CEO of Enveil. “While machine learning can be an effective tool within an organization’s walls, when teams are able to securely evaluate their models over multiple third-party data sources by collaborating with external organizations, they significantly broaden their capacity to derive insights for improved outcomes.”
