Inspect and block unsafe AI requests before provider dispatch.
PromptWall's prompt firewall analyzes every AI interaction for prompt injection, sensitive data exposure, and policy violations. Real-time enforcement across browser, editor, and CLI workflows.
Why enterprises need a prompt firewall
The Problem
AI adoption without prompt-level security is a data breach waiting to happen.
- Employees paste customer PII, credentials, and proprietary code into ChatGPT and Copilot daily.
- Prompt injection attacks can manipulate AI outputs, leak system prompts, and bypass safety controls.
- Traditional DLP and WAF tools have zero visibility into AI prompt content.
- Security teams cannot audit what was sent, what was modified, or what was blocked.
The PromptWall Approach
One prompt firewall. Every AI surface. Full inspection.
- Every prompt is inspected for PII, injection, document similarity, and toxicity before dispatch.
- ML-based detection catches sophisticated attacks that pattern-matching misses.
- One shared policy engine governs browser, editor, and CLI simultaneously.
- Full audit trail: original ↔ sanitized prompt, triggered rules, and enforcement decision.
See prompt firewall in action
See how PromptWall inspects and blocks unsafe prompts across browser, editor, and CLI workflows.
Key capabilities
PromptWall's prompt firewall combines multiple detection engines with a unified policy framework to provide comprehensive prompt-level security.
Semantic Prompt Analysis
ML-powered detection analyzes intent, not just patterns. Catches sophisticated injection attempts that regex misses.
prompt injection protectionPII & Sensitive Data Masking
Automatically detect and mask names, emails, phone numbers, credit cards, and custom entities before provider dispatch.
PII masking for LLMsPolicy-Based Enforcement
Define allow, flag, mask, or block actions per policy rule. One shared policy covers browser, editor, and CLI surfaces.
prompt filtering vs moderationReal-Time Inspection
Sub-100ms inspection latency. Every prompt is analyzed before it leaves your organization — no async delays.
real-time prompt inspectionInspection-Grade Logging
Full audit trail: original prompt, sanitized version, triggered rules, confidence scores, and final enforcement decision.
AI audit trailMulti-Surface Coverage
One prompt firewall governing browser AI tools, VS Code / Cursor extensions, and CLI gateways simultaneously.
LLM security platformHow the prompt firewall works
PromptWall intercepts AI requests at the edge — before they leave your organization. A multi-stage inspection pipeline analyzes each prompt and enforces your security policy in real-time.
01
Intercept
Browser extension, editor plugin, or CLI proxy captures the AI request.
02
Inspect
PII detection, injection analysis, document similarity, and toxicity scoring run in parallel.
03
Enforce
Policy engine evaluates results against tenant rules. Allow, mask, flag, or block.
04
Log & Route
Inspection record is persisted. Clean prompt is forwarded to the LLM provider.
CLI Proxy
Capture curl, scripts, and local AI tools through a lightweight local proxy.
Browser Extension
Chrome extension intercepts ChatGPT, Claude, and Gemini web interfaces in-browser.
ICAP Gateway
Integrate with existing Zscaler / Squid gateways for network-level AI traffic inspection.
Use cases by industry
MiFID II, PCI, SOC 2
Financial Services
Prevent PII leakage of customer financial data. Meet SOC 2 and PCI DSS requirements for AI tool usage. Route security events to existing SIEM infrastructure.
HIPAA, FDA 21 CFR Part 11
Healthcare & Pharma
Block PHI from reaching external LLM providers. Enforce HIPAA-compliant AI policies across clinical and research teams. Maintain audit trail for compliance review.
SOC 2, ISO 27001
SaaS & Technology
Prevent proprietary source code and API keys from leaking through Copilot and ChatGPT. Shadow AI detection across engineering teams.
Frequently asked questions
What is a prompt firewall?+
A prompt firewall is a security layer that sits between users and LLM providers. It inspects every prompt for sensitive data, injection attacks, and policy violations before the request reaches the AI model. Unlike traditional firewalls that filter network traffic, prompt firewalls analyze the semantic content of AI interactions.
How does a prompt firewall prevent prompt injection?+
Prompt firewalls use multiple detection layers including pattern matching, ML-based intent classification, and policy rules to identify injection attempts. When an injection is detected, the firewall can block the request, strip the malicious content, or flag it for review — all before the prompt reaches the LLM.
Does a prompt firewall add latency to AI requests?+
Modern prompt firewalls like PromptWall are optimized for real-time inspection. Typical latency overhead is under 100ms, which is negligible compared to LLM response times. The security benefit far outweighs the minimal performance impact.
Can a prompt firewall work with any LLM provider?+
Yes. PromptWall operates as a proxy layer that is provider-agnostic. It works with OpenAI, Anthropic, Google, Azure, and self-hosted models. The same policy applies regardless of which provider processes the request.
What's the difference between a prompt firewall and content moderation?+
Content moderation typically focuses on output — checking AI responses for harmful content. A prompt firewall focuses on input — inspecting what users send to AI models. Enterprise security requires both, but prompt firewalls address the critical 'data leaving the organization' risk.
How do I deploy PromptWall as a prompt firewall?+
PromptWall deploys across three surfaces: browser extension for web AI tools, editor integration for coding workflows, and CLI proxy for API usage. A single policy engine governs all three surfaces, providing consistent enforcement.
See also
Explore Prompt Firewall Topics
What Is a Prompt Firewall?
Complete guide to prompt firewalls — what they are, how they work, and why enterprises need them.
Prompt Injection Protection
Detect and block prompt injection attacks in real-time with policy enforcement and inspection logging.
Prompt Injection Examples
15 real-world prompt injection attack vectors with detailed prevention techniques.
Prompt Filtering vs Moderation
Compare filtering and moderation approaches for enterprise LLM deployments.
How to Build a Prompt Firewall
Architecture patterns from regex to ML-based detection, proxy patterns, and policy engines.
LLM Attack Prevention
Prevent jailbreaks, data exfiltration, and prompt injection with layered security controls.
Real-Time Prompt Inspection
View original vs sanitized content, triggered policies, and enforcement decisions.