Problem solution

LLM access control with PromptWall.

PromptWall turns LLM access control 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

Access to AI tools and providers does not guarantee safe usage of prompts or data.

Risks

Why it matters

Authorized users can still send inappropriate sensitive data or unsafe instructions to models.

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 adds content and policy controls on top of identity and provider access.

Use case

Enterprise use case

A platform team can combine existing access controls with prompt-layer enforcement.

Evaluate PromptWall for LLM access control

Bring your workflow, policy requirement, and sensitive data scenario. We will map the PromptWall control path.

Frequently asked questions

How does PromptWall help with LLM access control?+

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.

Final CTA

Bring AI under policy before risk reaches production.

Talk to PromptWall about browser, editor, CLI, and shared policy rollout for governed AI access.

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