Mirror Security Vector Intelligence Platform

Mirror Security Vector Intelligence Platform is a database security solution designed to protect vector databases used in AI and LLM applications. The platform uses Fully Homomorphic Encryption (FHE) to keep data encrypted during queries and processing operations. The platform provides security for vector embeddings that store unstructured data representations used in semantic search and contextual retrieval for GenAI applications. It implements a Zero Trust architecture with fine-grained security policies for AI agents, prompts, and RAG (Retrieval-Augmented Generation) pipelines. The solution offers role-based access controls, encryption key management, and data lineage tracking. It maintains audit logs for vector queries and LLM responses to support compliance requirements. The platform supports hybrid deployments across AWS, Azure, GCP, and on-premises environments. Performance metrics include sub-50ms average latency on encrypted vector queries and 99.9% search accuracy preservation. The platform integrates with vector database systems and embedding models through SDKs and APIs available in multiple programming languages. The RRR Framework (Recon Remediate Reinforce) provides lifecycle protection for AI data pipelines. The platform is designed for regulated industries including healthcare and finance where data security and compliance are required.