Integration
vector database security with PromptWall controls.
PromptWall helps secure vector databases usage across semantic retrieval, RAG, embeddings-backed search, and internal knowledge assistants.
Traffic
Gateway aligned
Apply policy around provider and model traffic.
Data
DLP aware
Detect sensitive data before prompts reach providers.
Control
Policy first
Turn AI usage rules into runtime decisions.
Evidence
Audit ready
Keep reviewable proof for security and compliance teams.
Problem definition
Integration security depends on prompt content
vector databases workflows can move indexed documents, search results, internal knowledge, and sensitive snippets through AI prompts and provider routes.
Risks
Provider and automation paths can expose sensitive context
Risk appears when prompts, tool outputs, retrieved context, or connected app data reach AI systems without inspection.
PromptWall solution
Apply prompt firewall and AI DLP before dispatch
PromptWall inspects the AI request, detects sensitive content, applies policy, and keeps audit evidence.
Technical explanation
Secure the route between workflow and model
PromptWall aligns provider routing, gateway controls, prompt inspection, DLP masking, and governance records.
Use case
Govern vector databases adoption
A team can use vector databases for semantic retrieval, RAG, embeddings-backed search, and internal knowledge assistants while PromptWall protects indexed documents, search results, internal knowledge, and sensitive snippets.
Review Vector Database Security with PromptWall
Map platform usage, sensitive data, and provider routes to PromptWall controls.
Frequently asked questions
Does PromptWall replace vector databases?+
No. PromptWall secures AI usage around the platform by inspecting prompts, data, and provider traffic.
What controls are applied?+
Prompt firewall, AI DLP, policy decisions, gateway alignment, and audit evidence.