The Problem

AI Models Need Vectorization

AI models cannot read documents. The data must first be converted to vectors. During the conversion, your document access level classifications are lost.

Secure Vector

The Solution

SecureVector automates the enforcement of document permission protocols for vector data, ensuring that storage and retrieval security aligns with the source system's access controls. This allows for scaling AI usage while maintaining data integrity and compliance.

Security Far Beyond all Current AI Standards

As a minimum security standard, SEEYOU applies AES-256, HTTPS, and E2E encryption, zero retention protocols, and other AI security measures to ensure that only you can view your data.

While good, these alone do not prevent vector data oversharing.

Automated, Permission-Centric Vectorization

Files are vectorized from your document repositories (OneDrive, Dropbox, Drive, etc.)

Document permission levels are maintained, allowing neural AI models to understand which information you are privy to and which you are not.

Real-Time AI Information and Permissions

Traditional vector database permission systems are typically subject to update lags.

SecureVector offers a choice of real-time document, data, and access level updates, so there is no information under- or oversharing.

Zero Data Leakage Compliance Proof

Vector databases are encrypted and can be stored in your cloud or on-premises servers.

AI models see only fractions of your data and queries. SEEYOU provides irrefutable proof of compliance by logging all relevant hashes on a blockchain.