Problem solution

AI risk control with PromptWall.

PromptWall turns AI risk 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

AI risk grows when teams use models faster than governance programs can evaluate them.

Risks

Why it matters

Data exposure, policy drift, provider sprawl, prompt attacks, and missing evidence create enterprise risk.

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 applies runtime controls across AI interactions and logs the final policy outcome.

Use case

Enterprise use case

A risk team can define AI control objectives and verify they run in real workflows.

Evaluate PromptWall for AI risk 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 AI risk 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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