Duality Technologies

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Duality Technologies and NTT DATA have collaborated to evaluate the use of sensitive multisource data while maintaining privacy. NTT DATA sought Dualitys platform for two initiatives: analyzing health data to make personalized health recommendations and leveraging telecommunications data to optimize user experience. The collaboration enables NTT DATA to open new lines of business without infringing on privacy. The article emphasizes the value of combining data from multiple sources and the need for evolving data encryption and sharing approaches. Duality Technologies is a leader in privacy-enhanced data collaboration, while NTT DATA is a global digital business and IT services leader. The date of the event described in the article is not provided.

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Duality Technologies, a company specializing in Privacy Enhancing Technologies, has raised $49 million in funding. The investment was led by Team8, Intel Capital, LG Ventures, Hearst Ventures, and Euclidean Capital. Duality Technologies was part of the Israeli startup squad that participated in Calcalists Mind the Tech London 2022 conference. The company joined the official delegation and presented their business to senior executives from the British and international tech industries.

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Duality Technologies has raised a $30M Series B funding round, bringing its total funding to $49 million. The company will use the funds to expand its go-to-market operations, advance partnerships, and further cement its product and technology leadership in privacy-preserving machine learning and Privacy Enhancing Technologies (PETs). Duality offers privacy-enhanced applications for various industries and has recently partnered with Oracle FCCM for privacy-protected AML information sharing. The companys leadership in PETs has been recognized with a $14.5M DARPA contract and collaboration with Intel. Duality was founded in 2016 by renowned cryptographers and data scientists and is focused on developing secure data collaboration applications using Homomorphic Encryption (HE) and data science.

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Duality Technologies has joined the Financial Data Exchange (FDX) to develop technical standards for financial data sharing. Dualitys privacy-enhanced data collaboration platform allows financial institutions to securely share sensitive information without exposing Personally Identifiable Information (PII). By joining FDX, Duality will contribute its expertise in Privacy-Enhancing Technologies (PETs) to enhance FDXs development and application of its 5 Core Principles of Data Sharing. The collaboration aims to ensure the safety, privacy, integrity, and security of sensitive data in the financial services industry.

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DARPA has awarded a $14.5 million contract to Duality, an encryption specialist, to develop a hardware-accelerated method of using large quantities of data without decrypting it. The goal is to create a special purpose chip, called TREBUCHET, that can accelerate fully homomorphic encryption (FHE) by an order of magnitude or more. FHE allows data to be analyzed and manipulated without decrypting it, but it is computationally intense. The contract is part of DARPAs broader effort called DPRIVE (Data Protection in Virtual Environments). The Duality team will collaborate with experts from various universities and labs. The timeline for the project is uncertain, but results are not expected for at least two or three years.

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Duality Technologies has launched Duality SecurePlus Statistics, a privacy-enhanced statistical analysis solution based on Homomorphic Encryption. The solution allows multiple organizations to securely perform statistical analyses on encrypted data sets from various sources, enabling secure collaborative analysis while preserving privacy and complying with data privacy regulations. SecurePlus Statistics offers practical data science capabilities for regulated industries such as healthcare, financial services, insurance, and more. It allows organizations to implement secure and privacy-enhanced collaboration on sensitive data to drive new business and research. Dualitys technology has been successfully piloted by the Tel Aviv Sourasky Medical Center for collaborative oncological real-world evidence studies. Duality Technologies is a leading provider of Privacy-Enhancing Technologies and was listed on Fast Companys 2020 Most Innovative Companies List in the Data Science category.

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Duality Technologies has formed an advisory board comprised of industry leaders and scientific experts to drive its mission of enabling privacy-preserving data sharing and collaboration. The companys products, based on Homomorphic Encryption, allow multiple parties to perform privacy-preserving analysis of data. The advisory board includes individuals with expertise in financial services, regulatory policy, compliance, machine learning, ethics, anti-financial crime, enterprise software, and healthcare AI. Duality Technologies aims to facilitate responsible data sharing and analysis in the era of Big Data. The companys products are used in various industries, including financial services, healthcare, and telecommunications.

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Duality Technologies has partnered with NumFOCUS to develop a privacy-preserving collaboration platform for academic institutions and public agencies. The platform will enable the evaluation of the effects of grant-making and financial support on students performance and contributions to academic research. Duality will utilize the PALISADE open-source Homomorphic Encryption (HE) library to carry out secure analysis of sensitive student data while keeping Personally Identifiable Information (PII) private. The framework aims to overcome data privacy regulations and agencies reluctance to share sensitive information, allowing for comprehensive analysis of relevant data. The development of the framework is supported by the Alfred P. Sloan Foundation. The partnership will provide academic teams with the ability to collaborate with public agencies on rich data without compromising data privacy.

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Duality Technologies has contracted with DARPA to develop a privacy-preserving machine learning capability for researching genomic susceptibility to severe COVID-19 symptoms. The company will leverage its expertise in Homomorphic Encryption (HE) in partnership with Harvard Medical School and Two Six Labs. The goal is to analyze encrypted data from multiple sources without exposing Personally Identifiable Information (PII). Duality has already demonstrated that applying HE to Genome-Wide Association Studies (GWAS) can yield results 30 times faster than alternative approaches. The new machine learning capability will allow researchers to pool sensitive clinical and genomic data while complying with data protection and privacy regulations. The DARPA contract will also support research into cyber threat intelligence sharing using Homomorphic Encryption.

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Duality Technologies, a startup founded by computer scientist Shafi Goldwasser, has developed a technology that allows authorities to monitor the spread of coronavirus and gain insights from encrypted data without compromising privacy. The technology enables data collection and warning of exposure to COVID-19 patients without revealing personal identities. Duality Technologies has raised $19 million in funding from investors including Intel Capital, Team8, and Hearst Ventures. The companys system is being used for epidemiological investigations. The technology allows for the analysis of data without disclosing sensitive information, providing a middle ground between privacy and efficiency. The goal is to manage the COVID-19 crisis without infringing on privacy rights.

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Duality Technologies has been named one of Fast Companys Most Innovative Companies for 2020. The company provides Privacy-Enhancing Data Collaboration Solutions based on Homomorphic Encryption. Dualitys SecurePlus platform enables computing on encrypted data, allowing for privacy-preserving data collaboration applications. The company co-leads the Homomorphic Encryption standardization consortium with Microsoft Research, Intel, and Samsung SDS. In October 2019, Duality raised $16 million in a Series A funding round led by Intel Capital. The funding round also included participation from Hearst Ventures and existing investor Team8.

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Samsung SDS and Duality Technologies convened a workshop focused on advancing standards for Homomorphic Encryption (HE). The meeting aimed to expand the standards defined in earlier meetings of the HE standardization community. The inclusion of additional schemes and protocols among HE standards will lay the foundation for a broad, interoperable secure computing ecosystem. Clear standards are critical for customer confidence and adoption of solutions using this privacy-enhancing technology. International standardization bodies and representatives of the US government attended the meeting. Samsung SDS believes this standardization meeting will play a pivotal role in making commercially applicable Homomorphic Encryption technologies.

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Duality Technologies Inc., a company that develops technologies for encrypted data collaboration, has completed a $16 million series A funding round led by Intel Capital. The funding will support the companys platform that enables multiple parties to collaborate on sensitive data while preserving privacy through homomorphically encrypted data. Dualitys unique expertise lies in offering computations on encrypted data at a large scale. The company aims to address the growing concern for data privacy and believes that privacy protection will become a significant focus for organizations in the future. Duality Technologies Inc. was founded in 2016 and operates in Israel and Massachusetts.

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Duality Technologies has been recognized as a Cool Vendor in privacy preservation in analytics by Gartner. The company offers Privacy Enhancing Technology (PET) solutions based on Homomorphic Encryption. The recognition validates the importance of privacy preservation in analytics and the companys technology. Duality Technologies combines advanced homomorphic encryption and data science in its SecurePlus platform, allowing organizations to derive insights without exposing their raw data.

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Duality Technologies, a start-up specializing in secure data analysis and collaboration through homomorphic encryption, was selected as the runner-up in the RSAC Innovation Sandbox Contest. The companys SecurePlus platform enables secure collaboration on sensitive data, breaking through the performance barrier to deliver practical solutions for secure data and analytics collaboration in regulated markets. The platform is built on the open-source PALISADE lattice encryption library and has received funding from DARPA, IARPA, the NSA, and the Sloan Foundation. Duality Technologies has been recognized for its ability to compute on encrypted, real-world scale genomic data sets. The company aims to empower organizations to compute on encrypted data while safeguarding data privacy.

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Duality Technologies, a cybersecurity startup, is focused on providing privacy and utility through the analysis of encrypted data. The company is commercializing Homomorphic Encryption, a new approach to data security that allows for processing and analysis of encrypted data without the need for a secret key. This technology has various commercial applications, such as outsourcing data processing, analyzing data from different geographic locations, combining data from multiple entities, applying proprietary models to different datasets, and training models on external data. Duality Technologies has received a grant from the National Institutes of Health for sharing genomic data in healthcare research. The company sees itself as a data science company rather than an encryption company.

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Duality Technologies, Inc. has raised $4 million in funding led by cyber think tank and startup foundry Team8. The company develops technologies that enable encrypted data collaboration, allowing partners to analyze and share sensitive content without compromising data privacy. Dualitys CEO emphasizes the importance of protecting data owners rights through technology. The funding will support the companys mission to enable secure collaboration with big data for tech firms, healthcare providers, and financial institutions.