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.

The rate of suspected digital fraud attempts against financial services companies increased 218% from the last four months of 2020 to the first four months of 2021, and have created a CA$8.62 billion fraud prevention and detection market. Read the full report.

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.

If banks could share their indicators of fraud and other data drawn from their customer account and device information rather than relying solely on their own data - without revealing identifying customer and device attributes - any apprehensions of inter-bank data sharing would quickly disappear.

Read more how secure, compliant, and privacy-protected information sharing can provide organizations with a complete view of customer activity.

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.

Our evaluation sandbox provides you with a pre-built environment with privacy-protected computations and collaboration workflows.

In this one-pager, you’ll learn how Duality SecurePlus enables financial institutions to collaborate with their business ecosystem while also ensuring compliance.

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.

For this fireside chat, we invited privacy and compliance experts across law firms, leading banks and the FFIS think tank to discuss the business potential and regulatory challenges associated with cross-border data transfers, and present emerging technology solutions that can help institutions mitigate compliance risks.

In this case study, the Cyber Defence Alliance (CDA) implemented Duality's SecurePlus platform to securely query data between participating institutions without revealing sensitive competitive information, PII, account numbers, or transaction data. Read now to learn more.

Answering questions about the exploration of Privacy-Enhancing Technologies (PETs) that can support financial intelligence sharing and help institutions reconcile AML obligations with privacy compliance.

Dr. Kurt Rohloff, our Co-Founder and CTO, speaks at Intel's SC21 about Fully Homomorphic Encryption.

An explanation of three different information sharing implementations across the financial crime lifecycle: Customer Due Diligence, Transaction Monitoring, and Fraud and Cybercrime Investigations.