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Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Inpher named in the 2020 Gartner Emerging Technologies: Homomorphic Encryption for Data Sharing With Privacy Report
-Inpher was recognized in an April 2020 report titled Emerging Technologies: Homomorphic Encryption for Data Sharing With Privacy, written by…
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Inpher Wins People’s Choice Award at FCA Financial Crime TechSprint
-The Inpher team (“Secret Computers”) implemented a secure multiparty computation protocol at the Tech Sprint in…
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Securing Autonomous Fleets with Global-Trained Localized Brains
-The value of connected everything will be derived from unprecedented data sharing, none the more so than with autonomobiles.…
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Financial Cryptography 2018
-This year in Curaçao, the Twenty-Second International Conference for Financial Cryptography will convene with salient topics in secure computation,…
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AI in Fintech Forum at Stanford
-Join global thought leaders and the Inpher executive team to discuss the future of Machine Learning in Financial Services…