How to Use Homomorphic Encryption in the Real World
A closer look at HE use cases and how to use homomorphic encryption in a privacy-preserving manner.
Privacy Terminology Lexicons
Duality’s e-guide to common terminologies and acronyms in the privacy landscape, including terms for cryptography, data privacy, data science, financial, healthcare, and privacy legislation.
Global RegTech Summit 2022- Duality Interview
Duality’s Chief Business Officer, Michael Hughes, discusses key RegTech trends, operational risks face by financial institutions, and how to tackle the roadblocks that are hindering secure data collaboration at the 2022 Global RegTech Summit.
Digital Health Symposium – Keeping Patient Identification Secure
Jim McGough, Co-Founder and Director at EdgeOne Medical, and Michael Hughes, Chief Business Officer at Duality, discuss keeping patient identification secure throughout the continuum of care at the Hitlab Digital Health Symposium.
Data and Trust: In Our Opinion – Prof. Shafi Goldwasser and Prof. Daniel Weitzner
Recently, Professor Shafi Goldwasser, a co-founder of Duality Technologies, a Turing award and two-time Gödel Prize winner, interviewed Professor Daniel J. Weitzner, to discuss Internet privacy and public policy. Weitzner is the Director of the MIT Internet Policy Research Initiative, principal research scientist at the Computer Science and Artificial Intelligence Lab CSAIL, and professor of Internet public policy in MIT’s Computer Science Department.
What is Synthetic Data and When Should it be Used?
All about Synthetic Data – advantages, disadvantages, and real-world use cases.
How to Choose a Homomorphic Encryption Library
Criteria to consider when choosing an open-source homomorphic encryption library, and a review of libraries available in 2022.
Homomorphic Encryption: Executive Brief
Data has three basic states: at rest, in transit, and in use. Homomorphic Encryption allows computations to be performed on encrypted data while in use – without ever decrypting it – keeping data secure in all three states.
Privacy-Preserving Machine Learning (PPML)
The answer to the privacy/AI conflict is privacy-preserving machine learning (PPML) – a step-by-step process to allow ML models to be trained without revealing or decrypting the data inputs.
The Duality Platform
Today’s data driven enterprise must harness the power of data and realize its value. However, in many cases, organizations are limited due to the complexity of their data footprint, compliance, and privacy regulation factors, as well as competitive, business policy, and budget assignment concerns.
Data and Trust: In Our Opinion – Rina Shainski and Jules Polonetsky
Jules Polonetsky is the CEO of The Future of Privacy Forum (FPF), a think tank based in Washington DC. FPF aims to serve as a platform for policymakers, industry leaders, and academics to come together and discuss emerging technologies and the privacy challenges that they pose.
The Evolving Role of the CISO: Interview with Dr. Alon Kaufman and Charles Blauner
As the way we use data has evolved, so has the role of the CISO. In this interview, Charles Blauner, CISO-in-Residence of Team 8, and Dr. Alon Kaufman, CEO and Co-founder of Duality, dissect what being a CISO means in a world driven not only by data, but by secure data collaboration.
Conversational Geek: Privacy Enhancing Technologies & Big Data
Read this informative and creative take from our friends at Conversational Geek to see how PETs have evolved to revolutionize data sharing and learn how to get started with PETs and incorporate them into your IT processes.
Data and Trust: In Our Opinion – Rina Shainski and Prof. Shafi Goldwasser
Two Duality Technologies co-founders, Rina Shainski and Shafi Goldwasser, recently met to discuss cryptography. A two-time Gödel Prize and Turing Award winner, Goldwasser tells of her early interest and beginnings in the field. They then examine why the field has become so important in recent years and how Duality facilitates privacy in an increasingly data driven world.
Key Questions when Combining Privacy Enhancing Technologies (PETs)
When do you know when to combine different privacy enhancing technologies (PETs) to solve specific problems? Here are a few key questions to ask.
Combining PETS to Solve Business Problems
Privacy enhancing technologies can be used together to solve specific business problems that can’t be fully solved by any one technology.
Privacy Enhancing Technologies (PETs) and Sanctions
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.
Eliminate Data Silos to Unleash the Power of Collaboration
The Duality Platform was developed to solve the security-utility conflict and unleash a new era of data collaboration allowing organizations to reap all the benefits of data sharing and collaboration without ever putting sensitive data at risk.
Dr. Alon Kaufman: The Duality Story
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.
Duality Session: The Data Driven Enterprise, Moving to Privacy Enhanced Data Collaboration
Watch Dr. Alon Kaufman, CEO and Co-founder of Duality Technologies deliver this informative session at the 2022 Privacy Enhancing Technology Summit North America.