About this name
Why retrievalsecurity.com
A definitive infrastructure .COM for securing AI retrieval, RAG pipelines, vector databases, enterprise knowledge, agent memory, semantic search, context assembly, data permissions, retrieval-time authorization, provenance, and the information boundary between sensitive data and intelligent systems.
The model can only expose what retrieval is allowed to reach.
RetrievalSecurity targets the security layer before sensitive information enters an AI model's context. Enterprise retrieval systems can span documents, databases, vector indexes, SaaS applications, memory stores, APIs, knowledge graphs, and internal repositories. Securing that path means controlling not merely who can ask a question, but which information each identity, agent, tenant, or workflow is permitted to retrieve.
Authenticate → Authorize → Retrieve → Filter → Deliver
RetrievalSecurity.com could anchor a secure-RAG company, AI context firewall, retrieval authorization layer, vector database security platform, enterprise knowledge gateway, agent memory security system, semantic data-loss-prevention product, or zero-trust retrieval control plane.
Its strength is that security can be enforced directly in the retrieval path: before sensitive enterprise information becomes model context. That creates a clear infrastructure position spanning identity-aware retrieval, access controls, source authorization, data classification, prompt-injection defense, context inspection, provenance, auditability, and policy enforcement.