Problem solution
secure RAG pipeline with PromptWall.
PromptWall turns secure RAG pipeline from a policy concern into runtime controls across prompts, AI DLP, secure gateway traffic, and governance evidence.
Control
Policy first
Turn AI usage rules into runtime decisions.
Data
DLP aware
Detect sensitive data before prompts reach providers.
Evidence
Audit ready
Keep reviewable proof for security and compliance teams.
Traffic
Gateway aligned
Apply policy around provider and model traffic.
Problem definition
The problem
RAG introduces retrieved context that can contain sensitive data or hidden instructions.
Risks
Why it matters
Retrieved documents can leak protected knowledge or carry indirect prompt injection into the model.
PromptWall solution
PromptWall applies policy before the AI interaction becomes risk.
PromptWall inspects AI prompts and context, detects sensitive content, applies allow/mask/flag/block policy, and preserves reviewable audit evidence.
Technical explanation
How the control path works
PromptWall inspects prompt assembly, retrieved content, sensitive entities, and provider route metadata.
Use case
Enterprise use case
A platform team can launch RAG while preserving corpus boundaries and prompt audit evidence.
Evaluate PromptWall for secure RAG pipeline
Bring your workflow, policy requirement, and sensitive data scenario. We will map the PromptWall control path.
Frequently asked questions
How does PromptWall help with secure RAG pipeline?+
PromptWall adds prompt inspection, AI DLP, gateway policy, and audit evidence at the point where AI usage happens.
Is this a replacement for existing security controls?+
No. PromptWall complements existing controls with AI-specific prompt, data, provider, and governance enforcement.