VectaX
Protecting The Core Of Generative AI
Industry First Security Layer For
Vector Databases & Large Language Models
Secure Vector Database
Enterprise-grade security for vector operations with similarity-preserving encryption. Protect your embeddings while maintaining searchability.
Enables the indexing and retrieval of data while it remains fully encrypted. Enable queries on sensitive data without exposing it, maintaining privacy and security without sacrificing the functionality of search systems.
Format-Preserving Encryption
Encrypt sensitive data while maintaining format and searchability. Perfect for securing metadata, PII, and structured data.
Compatible with all leading vector databases, ensuring consistent security enhancements.
Incorporate role-based access controls directly into your vector embeddings multi-dimensional policies.
Control access at role, group, and department levels with comprehensive audit trails.
Protect every phase of your machine learning and RAG workflows, ensuring data integrity and confidentiality from data ingestion through processing.
Security Layer for LLM
Strengthen defenses against model theft with robust security protocols, ensuring edge based LLM remains exclusive and secure from unauthorized replication or access.
Encrypted inferencing ensures the integrity and confidentiality of data, from input through to output, maintaining its accuracy and preventing tampering or unauthorized disclosure.
Role Based Access Control
Integrate role-based access control in LLMs to secure and regulate user interactions, ensuring compliance and data protection.
Enhance Large Language Models with finetuning that utilizes encrypted data,
ensuring data privacy and compliance while preserving the integrity of the training process.
