Solution
LLM Data Loss Prevention for enterprise AI security.
Apply AI-native DLP controls to LLM prompts, files, context, and outputs. 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
Traditional DLP is not built for natural language prompt flows and AI context assembly.
Risks
Why this becomes a security and governance issue
Sensitive data can appear in copied text, summarized documents, retrieved context, or coding prompts.
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 analyzes prompt content and workflow context to detect and mask sensitive data before model use.
Use case
A practical enterprise scenario
A regulated enterprise can enable AI workflows while preserving data handling controls.
Review LLM Data Loss Prevention with PromptWall
Bring one workflow and one policy requirement. We will map it to PromptWall controls and audit evidence.
Frequently asked questions
What is LLM Data Loss Prevention?+
LLM Data Loss Prevention 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.