Securing Data in Use & Expanding the Field of Usable Data

Date: 10/22/2024

Vendor: Enveil

Technology/Topic: Securing Data in Use & Expanding the Field of Usable Data

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Welcome to the Technical Exchange Meeting (TEM)!

Enveil is a pioneering Privacy Enhancing Technology company protecting Data in Use. Our NIAP/CSfC-certified ZeroReveal® COTS solutions enable Trusted Compute in Untrusted Locations® by allowing data to be securely processed at scale while remaining in the untrusted domain. Powered by advances in Privacy Enhancing Technologies (PETs) which include Homomorphic Encryption (HE) and Secure Multiparty Computation (SMPC), Enveil ensures the content of the search, analytic, or machine learning model—and its corresponding results—remain encrypted during processing (encryption of data in use).

ZeroReveal Search provides you the ability to perform searches containing sensitive content, encrypt them, and then run them without ever decrypting them in the data environment, thus without ever exposing any of the sensitive content. ZeroReveal Machine Learning can be leveraged for Evaluation or Training. In the context of Evaluation, ZeroReveal Machine Learning provides the ability to take models that have been trained over sensitive data, encrypt them, and then evaluate them in their encrypted state across data silos and boundaries, including untrusted, lower trusted, or third-party data environments and at the tactical edge. In the context of Training, ZeroReveal Machine Learning also includes the ability to perform encrypted model training, which enables encrypted federated learning. With Enveil, you can train sensitive models in an encrypted capacity on sensitive or untrusted data without risk of exposure.

Our solutions leveraging Homomorphic Encryption and SMPC enable you to move out on several priorities/areas of interest on the DISA EM FY24 Tech Watchlist. Our solutions align to AI Trust, Risk & Security Management, AI OPS, Browse Down, Quantum Resistance, Concierge AI and other capabilities such as RAG (Retreival Augmented Generation) and secure data/cross-silo collaboration.

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