Our Homomorphic Encryption

Perform Computations on Fully Encrypted Data

Uniquely Search & Analyze your Fully Encrypted Data (Structured & Unstructured)

With traditional encryption methods, a file is encrypted with an authorized key and then anyone with the corresponding key can decrypt the data file and return it to its original form. It is a widely available measure with a low-cost of implementation. And, because it is widely used, there are a number of reliable and secure key management systems in place to ensure key security.

OmniIndex uses the same concept of encryption, but adds additional benefits through a patented process. This process defines data objects while encrypting the data enabling computations to be performed on the data in its encrypted state.

Secure

OmniIndex’s FHE is based on Synchronous AES 256 using the CryptoPP libraries which are deemed uncrackable through brute-force attacks.

Fast

Users can perform computations such as search and analytics on their fully homomorphically encrypted data in near real-time.

Productive

OmniIndex's SLM and AI Chatbot gives users specialist insights on their fully encrypted data in real-time without risk of exposure.

// FAQ
Who created the OmniIndex FHE?

OmniIndex's patented homomorphic encryption was created by founder and CEO Simon Bain. 

It is unique to OmniIndex with us the only commercial solution for analyzing both structured and unstructured encrypted data in real-time. 

How does FHE work in simple terms?

Imagine a box that you can put data in and lock. This box is special: you can give it to someone else and they can perform operations on the data inside the box without being able to open it. They return the box, still locked, and you can then open it to see the result of the operation.

This is similar to how FHE works: data is encrypted, operations are performed on the encrypted data, and the results are decrypted to reveal the outcome.

How does OmniIndex use FHE?

OmniIndex employs FHE algorithms to enable complex computations on encrypted data. This allows for insightful data analysis while ensuring the privacy and security of the underlying information. This is particularly beneficial for applications involving sensitive personal data, like healthcare records or financial transactions.

How fast is OmniIndex FHE?

Unlike alternative homomorphic encryption technology, OmniIndex's FHE has real-time capabilities. 

For example, an AI risk assessment of our in-house logs holding over 1.5 million encrypted records pulling back 200,000 rows can be done in under 400 milliseconds.

What are the real-world applications of FHE?

FHE has numerous potential applications, including:

  • Privacy-Preserving Cloud Computing: Outsource computations on sensitive data to the cloud without compromising privacy.
  • Secure Medical Data Analysis: Analyze patient data while keeping it encrypted to maintain confidentiality.
  • Genomic Data Processing: Conduct research on encrypted genomic data without revealing sensitive individual information.