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Jan 11, 2024 4 mins

Inpher Announces SecurAI for Trusted Execution Environments

Inpher announces SecurAI, a revolutionary approach to leveraging large language models (LLMs) and generative AI (AI) privately, securely and with complete autonomy....

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Nov 7, 2023 3 mins

Inpher Advances Roadmap In Support Of Government Privacy AI Mandates

Inpher announced the strategic advancements of their solution portfolio to align with President Biden’s Executive Order on the Secure and Trustworthy Development and Use of...

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Oct 17, 2023 3 mins

Bring Your Own Data With Inpher

Inpher launches enterprise-ready BYOD initiative for seamless secure data collaboration and AI project...

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Sep 21, 2023 4 mins

Inpher-Oracle Cloud Marketplace Partnership Offers Privacy Preserving Ai/Ml Platform

Inpher privacy-enhancing computation platform accelerates secure data collaboration and Ai initiatives on Oracle Cloud...

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Jul 27, 2023 4 mins

Inpher Was Recognized in the Gartner® Hype Cycle™ for Data…

Inpher Mentioned In Secure Multiparty Computation, Data Security As A Service And Homomorphic Encryption...

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Jun 21, 2023 3 mins

Inpher XOR Integrates with Microsoft Azure

XOR Now Runs on Azure VMs Advancing the Sensitive Data Collaboration...

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Sep 22, 2022 3 mins

Inpher presents an Innovative solution for AML/CFT at the ACPR…

Inpher participated in the ACPR Banque de France TechSprint in Paris on September 13 and demonstrated a commercial solution using the XOR Platform for banks to securely...

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Jul 11, 2022 5 mins

Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier…

As our reliance on data grows, the need for data privacy becomes even more critical to everyone – and for businesses, an imperative. For Inpher, our focus has been on two...

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May 17, 2022 2 mins

Inpher Announces Strategic Partnership with In-Q-Tel

We are thrilled to announce today a strategic partnership with In-Q-Tel (IQT), a not-for-profit organization that identifies and accelerates the development and delivery of...

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Jun 22, 2021 9 mins

Privacy Challenges in Extreme Gradient Boosting

Machine learning (ML) is increasingly important in a wide range of applications, including market forecasting, service personalization, voice and facial recognition,...

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Apr 28, 2021 2 mins

How to Build Machine Learning Models with Private Data Sources…

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS...

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Apr 8, 2021 2 mins

Inpher Wins Tech4Trust 2021 Startup Accelerator Program

Organizations today face unprecedented challenges in leveraging the data they own: access to sensitive data needs to be controlled more efficiently; authentication methods...

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Dec 9, 2020 3 mins

Inpher wins the iDASH Secure Genome Analysis Competition

Advances in biomedical analytics and AI have revolutionized modern healthcare. Predictive systems in this field allow for better medical and epidemiological research, as well...

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Nov 19, 2020 2 mins

Accelerating Moore4Medical’s Innovation: Ensuring Patient Privacy in Healthcare AI

Moore4Medical is a project pioneered by Philips, leading healthcare providers and hospitals in Europe. Inpher is one of the four Swiss companies selected by this consortium,...

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News
Sep 25, 2020 1 min

Sunny Kang, Sr. Privacy Counsel and Head of Policy at…

As the prospect of antitrust charges against Big Tech looms larger, regulators should champion both competition and privacy as intricately connected values in the marketplace...

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