Inpher wins International Encrypted Data Competition
BLOOMINGTON, IN - Inpher —in collaboration with CEA and KU Leuven— won 1st place at the 2019 iDash Competition Genome Privacy & Security Competition, hosted by the...
Inpher CEO Dr. Jordan Brandt testifies before the U.S. House…
WASHINGTON, D.C. - On October 18, 2019, Inpher CEO Dr. Jordan Brandt testified before the Task Force on Artificial Intelligence of the U.S. House Financial Services Committee...
Inpher Named a 2019 Gartner Cool Vendor in Privacy Preservation…
Inpher was recognized in a September 2019 report by Gartner Analysts Bart Willemsen, Jie Zhang, and Nader Henein. Our Secret Computing® technology was also acknowledged in...
Inpher Wins People’s Choice Award at FCA Financial Crime TechSprint
Last week, Inpher took part in the Financial Conduct Authority (FCA) 2019 Global AML and Financial Crime TechSprint held in London. The purpose of the TechSprint was to...
Predictions with Privacy for Patient Data
It has been proven that de-identified data points on anything from credit card transactions to healthcare records can be reidentified, often quickly, by trained data...
NYC FinTech Innovation Lab Selects Inpher for 2019 Program
Inpher was selected among a field of hundreds of applicants to participate in The FinTech Innovation Lab, a program run by The Partnership Fund for New York City and...
Inpher Finalist for Privacy-Preserving Genomic Data Competition
Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and...
Why Encryption of Corp Data is a Powerful but Underutilized…
While citing executives from Microsoft Azure and Box, who acknowledge that "security trumps everything else", she insightfully recognizes that there is a novel approach to...
Partnering for Privacy-Preserving Predictive Maintenance
When anticipating the needs of high-tech fleets distributed around the world, more data is better. The challenge is that the owners and operators of the equipment cannot...
Playing with Encrypted Data – Without Seeing It
"With the GDPR deadline bearing down on European financial services, compelling firms to show they comply with the rules by May 25, companies with international footprints...
Securing Autonomous Fleets with Global-Trained Localized Brains
It is possible to train machine learning models with private data sets so that no single data point is identified but statistical learning is maintained, including outliers...
Deep Learning in Finance
The Deep Learning in Finance Summit hosted by Re-Work on March 15-16 in London brings together experts and practitioners in AI from around the world to discuss novel methods...
Financial Cryptography 2018
This year in Curaçao, the Twenty-Second International Conference for Financial Cryptography will convene with salient topics in secure computation, blockchain,...
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 at Stanford University on February 8. The AI in...
The Spectre of Hardware Security Looming over Intel SGX
As the fallout of the Spectre and Meltdown vulnerabilities settles, the future of in-silica security becomes fuzzier. There are many comprehensive reports on the attack...