Analyze Encrypted Data
Gain Actionable Insights and Analysis from Fully Encrypted Data
OmniIndex uniquely enables customers to keep their data encrypted throughout analytics and search. This means even a company’s most sensitive, regulated and confidential data can be analyzed without risk of exposure.
Analysis can be done in real-time inside the Dropblock File Store, or on data inside OmniIndex’s Web3 data platform PostgresBC. The Dropblock extensions also enable encrypted data to be used in Microsoft 365 and Google Workspace.
Healthcare & Life Science
OmniIndex uniquely enables organizations to analyze fully encrypted health records and medical images; including DICOM.
DICOM stands for Digital Imaging and Communications in Medicine. These images contain many different types of data including device usage and patient information. This data is crucial in Healthcare and Life Science, however due to the strict regulations around patient data & the difficulty in using this type of data DICOM images are vastly underutilized.
OmniIndex enables organizations to utilize this information in their workflow due to the ability to keep the data encrypted at all times. Potential benefits include: Improved Diagnostics, Efficient Collaboration, Regulatory Compliance, Device Utilization and Management.
Financial Services
Financial institutions face a growing challenge: balancing the need to extract valuable insights from sensitive customer data with the critical imperative to protect that data from fraud while complying with stringent regulations & defending it from ransomware attacks.
Traditional data security measures often result in data silos to keep the most regulated data away from the main workflow, hindering analysis and limiting the potential for innovation & insights.
Homomorphic encryption offers a groundbreaking alternative, keeping this data secure without removing it from the workflow. This enables institutions to: Derive actionable insights without compromising data security, improve risk management and regulatory compliance, and gain a deeper understanding of customer needs.
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.
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.
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.
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.
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.