Rethinking IoT Security
- by Ramnath Sai SagarInpher SDK Running natively on a Raspberry Pi- data is encrypted and indexed as it is created for secure…
Ramnath Sai SagarSafe Harbor 2.0 and the reaction of cyber imperialists
- by Ramnath Sai SagarMr. Schrems has his doubts about ‘Safe Harbor 2.0’, according to his recent interview with Ars Technica. Others have…
Ramnath Sai SagarAttack of the Ombudsperson
- by Ramnath Sai SagarThe draft document for ‘Safe Harbor 2.0’ was released on March 2, and is pending review and approval by…
Ramnath Sai SagarInpher Launches with $1m Financing Round
- by Ramnath Sai SagarInpher has launched a software development kit that encrypts data at its inception, while supporting search and basic analytical…
Ramnath Sai Sagar- Ramnath Sai Sagar

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.

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

How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies to Work
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Inpher Announces Strategic Partnership with In-Q-Tel
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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