{"id":5910,"date":"2021-02-09T06:00:00","date_gmt":"2021-02-09T06:00:00","guid":{"rendered":"https:\/\/cornami.com\/website_27705a17\/cornami-partners-with-inpher-pioneer-in-secret-computing-to-deliver-quantum-secure-privacy-preserving-computing-on-encrypted-data\/"},"modified":"2024-12-24T00:43:37","modified_gmt":"2024-12-24T00:43:37","slug":"cornami-partners-with-inpher-pioneer-in-secret-computing-to-deliver-quantum-secure-privacy-preserving-computing-on-encrypted-data","status":"publish","type":"post","link":"https:\/\/cornami.com\/website_27705a17\/cornami-partners-with-inpher-pioneer-in-secret-computing-to-deliver-quantum-secure-privacy-preserving-computing-on-encrypted-data\/","title":{"rendered":"Cornami Partners with Inpher, Pioneer in Secret Computing, to Deliver Quantum-Secure Privacy-Preserving Computing on Encrypted Data"},"content":{"rendered":"\n

Cornami and Inpher Bring Enterprise-Grade Fully Homomorphic Encryption (FHE) to Modern Innovators <\/em><\/h2>\n\n\n\n

Campbell, CA.  Feb. 9, 2021<\/strong> \u2013 Cornami and Inpher announced today their partnership to collaborate on delivering commercially viable Fully Homomorphic Encryption (FHE) functionality to the market.  FHE has long been described as transformative for data privacy and cloud security as it enables computing on encrypted data sets, thereby keeping the underlying data secure.  However, existing FHE algorithms are computationally intensive and have been often considered as not yet practical for real world applications.  Cornami\u2019s partnership with Inpher overcomes such limitations to deliver real-time FHE computing to a ready and rapidly expanding market.  <\/p>\n\n\n\n

Inpher is a cryptographic Secret Computing\u00ae company that powers privacy-preserving AI and analytics.  Secret Computing has brought years of academic research in secure Multi-Party Computation (MPC) and FHE \u2014 into commercially-ready applications. With Secret Computing technology, data scientists can finally build advanced analytics and Artificial Intelligence (AI) models on distributed data sources without ever exposing or transferring sensitive data across departments, organizations, or jurisdictions.  Secret Computing ensures that data privacy and security are retained under the privacy requirements of organizations during these computations, including being GDPR compliant.  Cornami has developed a break-through computing-hardware architecture that massively scales application performance without penalties to deliver real-time computing for critical and complex applications that are out of reach of traditional, legacy processors.  The Cornami technology reduces power and latency while vastly increasing the compute performance for today\u2019s immense datasets requiring real-time computing.<\/p>\n\n\n\n

\u201cCornami\u2019s unique and scalable computational fabric is the first compute platform we\u2019ve seen that can meet FHE\u2019s substantial computing requirements hitting both performance and cost requirements for a commercially viable product.  We look forward to working with Cornami to provide unrestricted FHE solutions to the market.\u201d <\/em><\/p>\n\n\n\n

Dimitar Jetchev, CTO and co-founder of Inpher, Inc.  <\/em><\/strong><\/p>\n\n\n\n

The two companies are collaborating to enable Inpher\u2019s advanced cryptographic products, in which data remains protected while being processed, to execute on the Cornami computing platform.  Cornami\u2019s unique next-generation post-von Neumann architecture enables massive parallelism and pipelining capabilities at scale, delivering compute-intensive FHE for commercially viable real-time products and services.<\/p>\n\n\n\n

FHE Brings Three Significant Sea-Change Advances to the Information Processing Industry:<\/strong><\/p>\n\n\n\n

Massive and Costly Data Breaches become a thing of the Past  <\/p>\n\n\n\n

Commercially viable FHE provides quantum-secure privacy-preserving computing on encrypted data sets, keeping the underlying data secure.  In essence, assume that computing environments are compromised; so, secure the data.  The data, including its unrestricted computational derivatives, remain encrypted at rest and throughout its processing life cycle. Data is only decrypted to plaintext<\/em> in data owner-controlled environments. <\/p>\n\n\n\n

Data Secure from Quantum Computer-Based Attacks  <\/p>\n\n\n\n

FHE is based on notoriously hard mathematical lattice problems that are secure against attacks even by quantum computers.  This feature allows provable data security \u2013 even in untrusted computing environments like public cloud platforms.  <\/p>\n\n\n\n

AI Training, AI Inference, and Analytics Gain Data Insights without Data Exposure <\/p>\n\n\n\n

Datasets from single or multiple sources can be encrypted using the same public FHE key.  The data is then aggregated into an encrypted database, where AI (both training and inference) and analytic algorithms can be applied at commercially viable speeds.  Results can be decrypted by a third-party without ever exposing plaintext <\/em>data.  This feature enables the cooperation of multiple, independent organizations such as healthcare companies, governments, financial institutions and more to gain insights into their collective data while preserving the privacy of that data\u2019s contents. <\/p>\n\n\n\n

\u201cIn<\/em> order to achieve value from data analytics, including those driving the AI and ML market, the industry needs to address the protection of the data.  Massive security breaches bring regulatory pressure to restrict data collection and cloud-based information with the realization that regardless of effort, with existing perimeter-based security measures, computing environment attack points will always exist.  The cryptography experts at Inpher have developed quantum-safe cryptographic primitives and protocols to encrypt data and perform arbitrary computation on that encrypted data that returns an encrypted result. Combining both Cornami and Inpher technologies will enable future-proof and provable data security<\/em>.  These are mathematical computationally-intensive algorithms<\/em> highly unsuitable for the processors of today<\/em>.  We greatly value our partnership with Inpher to enable \u2014 for the first time \u2014 the performance required to deliver commercially viable FHE products in real-time.\u201d<\/em><\/p>\n\n\n\n

Paul Master, CTO and co-founder of Cornami <\/strong><\/p>\n\n\n\n

Cornami and Inpher have completed several technical exploratory milestones to understand their harmonious fit. Both companies are engaged in delivering market ready solutions that address multiple customers\u2019 needs to compute on encrypted datasets.<\/p>\n\n\n\n

Fully Homomorphic Encryption Webinar \u2013 Feb. 10, 2021 \u2013 1 hour webinar beginning at 10am PST <\/p>\n\n\n\n

Free Registration<\/a><\/p>\n\n\n\n

Want to know more about FHE?   Please join Michael Azoff, chief analyst, Kisaco Research,  Dr. Tom Rondeau, program manager, Strategic Technology Office (STO) DARPA, and Dr. Walden \u201cWally\u201d Rhines, president and CEO, Cornami Inc.  for a one (1) hour webinar Feb. 10, 2021 at 10am PST.<\/p>\n\n\n\n

About Cornami <\/strong><\/strong><\/p>\n\n\n\n

Cornami<\/a> is focused on the deployment of intelligent computing in real-time environments.  The company has developed a massively parallel-processor computing architecture that addresses the shift in computational needs for today\u2019s ever-increasing vast data sets.  This game-changing, software-defined computational fabric delivers unprecedented scalability from thousands of cores on a single chip to millions across a system, all individually programmable.  Cornami empowers developers, large enterprise, IoT, and edge-to-cloud computing to deliver high performance anywhere, on any device, and at the lowest power and latency.  www.cornami.com<\/a><\/p>\n\n\n\n

About Inpher<\/strong><\/strong><\/p>\n\n\n\n

Inpher has pioneered cryptographic Secret Computing\u00ae that enables advanced analytics and machine learning models while keeping data private, secure, and distributed.  At Inpher, we believe that privacy and security are foundational to the future of computing and have built enterprise products to make this vision a reality.  Our world-class cryptographers have won numerous international encrypted data competitions<\/a>, regulatory techsprints<\/a>, and Gartner Cool Vendor awards<\/a>.  We are a global company with offices in New York City, San Francisco, and Lausanne, Switzerland. <\/p>\n\n\n\n

Contact: Darlene Kindler
media@cornami.com<\/a><\/p>\n\n\n\n

# # #<\/p>\n","protected":false},"excerpt":{"rendered":"

Cornami and Inpher Bring Enterprise-Grade Fully Homomorphic Encryption (FHE) to Modern Innovators  Campbell, CA.  Feb. 9, 2021 \u2013 Cornami and Inpher announced today their partnership to collaborate on delivering commercially viable Fully Homomorphic Encryption (FHE) functionality to the market.  FHE has long been described as transformative for data privacy and cloud security as it enables computing 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