/PRNewswire/ Duality Technologies, a leading provider of privacy-enhanced data collaboration solutions, today announced that it has won two prestigious.
Duality Technologies Awarded as Technology Pioneer by World Economic Forum prnewswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prnewswire.com Daily Mail and Mail on Sunday newspapers.
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NEWARK, New Jersey, April 13, 2021 /PRNewswire/ Duality Technologies, a leading provider of Privacy-Enhancing Technologies based on Homomorphic Encryption and a member of Oracle PartnerNetwork (OPN), announced today that it has partnered with Oracle to integrate Duality s capabilities within Oracle s Financial Crime and Compliance Management (FCCM) product suite. Financial institutions utilizing Oracle s software – including hundreds of major banks around the world – will gain use of Duality s privacy-preserving query engine, enabling them to engage in collaborative financial crime investigations with other financial institutions while protecting sensitive data and help ensure compliance with global privacy regulations.
Oracle FCCM equips banks with end-to-end anti-money laundering (AML) solutions encompassing the entire financial crime and compliance life cycle. Utilizing Duality s Privacy-Enhancing Technology, financial institution
Duality Technologies, a leading provider of Privacy-Enhancing Technologies (PETs) based on Homomorphic Encryption (HE), today announced it has been awarded a $14.5M contract from the
DPRIVE program. Under the contract with DARPA, Duality will lead a team developing a novel ASIC (Application-specific Integrated Circuit) - code named TREBUCHET - to accelerate computations using Fully Homomorphic Encryption (FHE), with the goal of making FHE cost-effective for even the most challenging high-value applications.
FHE is an advanced cryptographic technique, widely considered the holy grail of encryption, which enables multiple users to process and glean insights on encrypted data while the data or models remain encrypted, preserving data privacy throughout the analytics process. This new hardware is crucial in helping data scientists cross the next frontier in FHE: the ability to train some of the most advanced machine learning (ML) models on encrypted data, enabling organization