Solution
Secure RAG Governance for enterprise AI security.
Protect retrieval context, prompt assembly, provider routing, and RAG audit trails. PromptWall turns this problem into enforceable runtime controls across prompts, sensitive data, provider routes, and audit evidence.
Control
Policy first
Map every AI interaction to allow, flag, mask, or block decisions.
Data
DLP aware
Detect sensitive prompts, regulated data, and document leakage risk.
Evidence
Audit ready
Keep explainable records for security, risk, and compliance reviews.
Traffic
Gateway aligned
Apply controls before prompts reach external model providers.
Problem definition
The problem buyers need to solve
RAG systems can turn internal documents into model context without enough inspection.
Risks
Why this becomes a security and governance issue
Retrieved content can leak sensitive data, carry indirect prompt injection, or exceed user authorization.
PromptWall solution
PromptWall applies policy where the AI interaction happens.
PromptWall combines prompt firewall, AI DLP, gateway control, and audit evidence so teams can allow, flag, mask, or block based on business risk.
Technical explanation
How the control path works
PromptWall combines retrieval-aware prompt inspection, AI DLP, gateway policy, and audit evidence.
Use case
A practical enterprise scenario
A platform team can launch RAG while preserving corpus boundaries and reviewable prompt decisions.
Review Secure RAG Governance with PromptWall
Bring one workflow and one policy requirement. We will map it to PromptWall controls and audit evidence.
Frequently asked questions
What is Secure RAG Governance?+
Secure RAG Governance is a PromptWall solution path for buyers who need to control AI prompt, data, provider, and governance risk around this problem.
Does this require replacing existing security tools?+
No. PromptWall complements existing controls by adding AI-specific inspection, DLP, gateway, and audit capabilities at the prompt layer.