Solution
AI Policy Enforcement for enterprise AI security.
Convert AI usage policies into allow, flag, mask, and block decisions. 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
AI policy documents do not enforce themselves at the point of use.
Risks
Why this becomes a security and governance issue
Employees may violate policy accidentally, and security teams may lack evidence that controls ran.
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 translates policy into runtime decisions across prompts, data, provider traffic, and audit.
Use case
A practical enterprise scenario
A platform team can apply the same AI policy across browser, provider API, and gateway workflows.
Review AI Policy Enforcement with PromptWall
Bring one workflow and one policy requirement. We will map it to PromptWall controls and audit evidence.
Frequently asked questions
What is AI Policy Enforcement?+
AI Policy Enforcement 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.
