Problem solution
LLM vulnerabilities with PromptWall.
PromptWall turns LLM vulnerabilities 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
LLM vulnerabilities appear across prompts, retrieved context, tool calls, provider routes, and data handling.
Risks
Why it matters
A single weak point can expose sensitive data or let untrusted instructions affect AI behavior.
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 maps vulnerability classes to runtime policy decisions and audit evidence.
Use case
Enterprise use case
A security architect can translate LLM threat modeling into enforceable controls.
Evaluate PromptWall for LLM vulnerabilities
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 vulnerabilities?+
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.