When do you know when to combine different privacy enhancing technologies (PETs) to solve specific problems? Here are a few key questions to ask.
How do you come to be in the Privacy Enhancing Technologies business? What kind of questions do they come to solve? Find out this and more in this sit-down with Dr. Alon Kaufman, CEO and Co-founder of Duality Technologies.
Privacy enhancing technologies can be used together to solve specific business problems that can’t be fully solved by any one technology. Homomorphic encryption is very malleable and works well in combination with other types of privacy enhancing technologies. Homomorphic encryption is often combined with trusted execution environments, federated learning, or multi-party computation. Privacy enhancing technologies can be used together for everything from data analytics to tuning and training models.
Economic sanctions are a hot-button topic recently – and it turns out that privacy enhancing technologies (PETs) can play a role in aiding the fight against this type of financial crime. Watch us interview Duality’s VP Strategy, Ronen Cohen, about where PETs and sanctions collide.
Join us for a riveting discussion about current issues in data privacy and privacy engineering in this fun interview with Nishant Bhajaria, author of the Data Privacy: A Runbook for Engineers and Director of Privacy Engineering at Uber.
Fighting fraud in Canada means breaking down barriers between banks – without losing competitive edge. Watch to learn how.
Intra-institutional anti-fraud teams don’t get a clear view of their customers or how their funds are being moved. Ronen Cohen, Head of Strategy at Duality Technologies, explains why collaboration is key to fight fraud.
In this video, Neil Ringwood, Associate Partner – Financial Crimes at IBM Canada, explains the depth and severity of Canada’s second pandemic: the fraud crisis.
Since moving its homomorphic encryption platform to Oracle Cloud Infrastructure, Duality set up a high-performance compute environment, using Intel IceLake and AMD EPYC CPUs, which is now helping its clients add scale to their computations, aggregate more data from more sources, and reduce their hardware, energy, and labor costs.
In this presentation to the UNU Centre for Policy Research, Duality’s Head of Strategy Ronen Cohen presents the pitch for PETs as a tool for risk mitigation and fighting financial crime.
IBM financial crime expert Neil Ringwood explains how financial institutions can use collaborative data science to form a secure network in the fight against fraud.
Rina Shainski, our Chairwoman and Co-Founder, speaks at the German-Israeli Health Forum of Artificial Intelligence about the value of secure data collaboration for RWE studies and more.
Award-winning data scientist Prof. Michael Jordan summarizes what homomorphic encryption can do for the world of privacy-preserving machine learning.
In this video, you’ll learn how real-life institutions use Homomorphic Encryption to fight insurance fraud.
Dr. Alexander Gusev from the Dana Farber Research Institute discusses how PETs are being used today to build models predicting who is at higher risk for serious diseases.
Dr. Kurt Rohloff, our Co-Founder and CTO, speaks at Intel’s SC21 about Fully Homomorphic Encryption.
In this Keynote presentation, CEO and co-founder Dr. Alon Kaufman speaks about the importance of unleashing the full value of your data, including several real-life use cases.
Prof. Shafi Goldwasser speaks on how cryptographic models and tools can and should play a role in ensuring the trustworthiness of AI and machine learning and address problems such as privacy of training input, model verification and robustness against adversarial examples.
Prof. Shafi Goldwasser’s thoughts on the state of data privacy in 2021.
Ronen Cohen, Head of Product Marketing and Strategy, Duality Technologies speaks about the privacy vs. data utility concern in the world of retail.