Secure Real-Time Computing from the Cloud to the Edge

The company’s proprietary technology reduces the use of power sources and lowers latency, while vastly increasing the computing performance for today’s massive datasets whether at the edge or the cloud.  This includes, most notably, accelerating Fully Homomorphic Encryption (FHE) for real-time computing on encrypted data sets, which is vital for data privacy and cloud security.

Cornami delivers real-time computing on encrypted data sets. Cornami’s break-through software-defined FracTLcore® Fabric computing architecture can scale performance without penalties to deliver real-time computing for several critical and complex applications.  

Banking

Real-time FHE secures financial data from unauthorized disclosure / breach and allows insights from encrypted data to be leveraged between divisions, branches, and even between outside banks.

Defined as Post Quantum Cryptography, FHE is also safe from Quantum Computing attack and can be used in areas such as: fraud detection, Anti-Money Laundering, Predictive Analytics, and Loan Scoring all without data disclosure.

Healthcare

Globally and nationally, these represent huge untapped potentials for new diagnostic and treatment medical knowledge.

Current security techniques coupled with HIPAA, GDPR, and other patient privacy regulations silo EHR data and restrict the application of AI, Big Data, and Analytics across the multiple organizations required to extract those insights from large patient populations.

Maintaining EHR data in FHE encrypted form enables unrestricted AI, Big Data, and Analytics to be applied to multi-organization data sets while ensuring patient confidentiality is maintained and data is secure from unauthorized disclosure.

Financial Services

Enable Secure and Private Data Sharing and Collaboration
Each year, large Financial Institutions spend hundreds of millions completing KYC (know your customer) checks on new and existing customers, however, no framework exists to collectively mitigate risk through the sharing of customer risk intelligence across privacy jurisdictions or between entities. This lack of access to existing intel often forces institutions to make risk-rating decisions based on incomplete information.

Utilizing FHE, a flexible and adaptable trust framework capable of facilitating secure and private KYC and Customer Due Diligence (CDD) processes to enhance intelligence-led decision making. Analysts are able to securely and privately cross-match and search regulated data across privacy jurisdictions in a business-relevant timeframe while ensuring sensitive assets remained protected during processing in accordance with regulatory requirements.

Insurance

In traditional insurance platforms, fraud detection (over $40B a year in just auto insurance fraud) and data security are contradictory and always require tradeoffs.

With data security, you need to limit access to the day-to-day transaction stream to minimize the risk of data disclosure and breach and with fraud detection. You want to consolidate and review transaction data at the highest level of business to detect and act on fraud signatures. 

Real-time FHE allows both goals to be achieved by having the data remain encrypted throughout its processing lifecycle. There need not be restrictions on data access. By also encrypting fraud signatures, fraud detection is operating on encrypted data is itself, not breached to tip off the bad actors.

Secure Cloud Computing and Services

In today’s cloud environment, proprietary, application services must execute on plaintext data.

For companies selling those services (testing, business analytics, health and wellness assessments, design, accounting, …), a key business requirement is having customers trust the stewardship of their confidential and proprietary data while it’s being processed. FHE removes that requirement while guaranteeing that both the data and the result remain confidential.

Pharmaceutical Research

Keep IP and other confidential data secure while processing in the cloud or on premise.

Share/monetize data for better analytics such as drug trials with third parties while keeping the underlying patient and partner data confidential.
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Game-Changing Innovation

Cornami’s cutting-edge architecture is purpose-built for the demands of modern computing—delivering performance and efficiency legacy computing platforms simply cannot.

CornamI’s FracTLcore™ Compute Fabric maximizes performance per watt while adapting to evolving workloads. Designed for the future, Cornami’s streaming architecture processes vast data sets with unmatched efficiency, redefining what’s possible in high-performance, scalable computing.

Core density allows for entire application to be executed on chip

No bottlenecks: delivering highest utilization of silicon

Unprecedented linear scalability delivers real-time computing environments

Massively parallel pipelining with no cache subsystems delivers high performance with extremely low power

Massively parallel architecture addressing the shift in processing needs for today’s vast data sets

Unique dynamic reconfigurable systolic arrays allows for optimization of the hardware to the algorithm

Cores are individually programmable to address hyper-growth evolving markets and new feature sets

Over 70 patents issued, and counting

The most efficient way to process massive data sets

Real-time Fully Homomorphic Encryption for quantum-proof data privacy

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