Technical cluster
AI proxy layer: the enforcement point for governed LLM traffic.
An AI proxy layer gives enterprises a place to inspect and enforce policy on AI requests before they reach providers. PromptWall uses this pattern as part of a broader secure LLM gateway strategy.
Traffic
Gateway aligned
Apply controls before prompts reach external model providers.
Data
DLP aware
Detect sensitive prompts, regulated data, and document leakage risk.
Evidence
Audit ready
Keep explainable records for security, risk, and compliance reviews.
What the AI proxy layer controls
The proxy layer can normalize provider requests, attach identity and application context, inspect prompts, apply DLP masking, evaluate policy, and write audit records. This makes it an operational control, not only a routing convenience.
Why this differs from generic proxying
Generic proxies understand hosts, headers, and payload transport. An AI proxy layer needs to understand prompts, model requests, sensitive entities, policy outcomes, and audit requirements. That content awareness is what makes it valuable for AI security.
Add PromptWall as your AI proxy control layer
Use PromptWall to inspect, mask, and audit AI traffic before it reaches model providers.
Frequently asked questions
Is an AI proxy layer the same as an LLM gateway?+
The proxy layer is one architectural pattern inside an LLM gateway. The gateway also includes policy, audit, routing, and governance workflows.
What should be inspected in the proxy?+
Prompts, sensitive entities, model metadata, application context, and policy outcomes should be captured in a way that supports enforcement and audit.