Your Files, Your Secrets

In today’s data-driven world, quick access to information is paramount with generative AI features such as instant file summaries invaluable. 

However, what if you need to summarize files containing regulated and sensitive information without risking data breaches or compromising privacy? That’s where OmniIndex Dropblock, powered by its private Small Language Model (SLM) “Boudica,” comes into play. 

OmniIndex leverages the power of generative AI, including connections to models like Gemini, while ensuring your data remains completely secure through its patented use of homomorphic encryption, Web3 and its own award-winning AI: Boudica. 

The Privacy Dilemma

Usually, generating AI summaries of files with solutions like Gemini would involve uploading them to a centralized AI platform, exposing your raw (decrypted) data to potential vulnerabilities. 

This is a significant concern for businesses dealing with confidential information, PII, or proprietary data as this data is then shared with those third-parties and put at risk.  

OmniIndex Dropblock’s Solution: Privacy by Design

OmniIndex Dropblock takes a radically different approach by centering the user and their data privacy above all else. We’ve built a secure, privacy-preserving ecosystem that allows you to harness the power of AI without sacrificing confidentiality. Here’s how it works:

1. Secure Blockchain Storage: Your files are stored within your own zero-trust blockchain. This inherently provides immutability and enhanced security with ransomware inoculation and immediate file recovery if anything should fail. It can either be hosted in Google Cloud, or in another location of your choice. 
2. Homomorphic Encryption (FHE) and PII Redaction: Before any processing occurs, your files are encrypted using patented Homomorphic Encryption (FHE). This groundbreaking technology allows computations to be performed on encrypted data without ever decrypting it. Simultaneously, any Personally Identifiable Information (PII) is automatically redacted when a file is saved to ensure it is not exposed when a file is shared or processed. 
3. Boudica: The Private SLM: Our specialized Small Language Model, “Boudica,” is deployed within our secure environment. Designed for specific tasks, Boudica can efficiently process your encrypted data to provide a condensed version of the document specifically for the AI summaries to be formed which has removed the sensitive data like the PII. This means your actual file is never shared with a third-party. 
4. Leveraging Gemini’s Power, Securely: Because the sensitive data has been processed by Boudica and is not directly given to Gemini, we can use Gemini to improve the generated summary, or to ask general knowledge questions related to the summary, without ever exposing the secure user data.
5. Real-Time, Secure Summaries: The resulting summary is delivered to you in real-time, directly within the Dropblock file store. Crucially, no private information is exposed or shared and all of this privacy preserving process happens in real-time. 

The Future of Secure AI

OmniIndex Dropblock demonstrates that you don’t have to choose between powerful AI capabilities and robust data privacy. By leveraging FHE, private SLMs, and secure blockchain technology, we’re paving the way for a future where you can harness the full potential of AI without sacrificing your sensitive information.

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