Problem solution

AI security layer with PromptWall.

PromptWall turns AI security layer 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 security becomes brittle when each team implements separate controls inside each app.

Risks

Why it matters

Coverage gaps appear across browser AI, provider APIs, RAG systems, and agent workflows.

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 creates a reusable AI security layer for inspection, DLP, gateway policy, and audit.

Use case

Enterprise use case

An enterprise can standardize controls while allowing teams to choose models and workflows.

Evaluate PromptWall for AI security layer

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 security layer?+

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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