What is a prompt firewall
A prompt firewall is a security layer that sits between users and AI providers, inspecting every AI interaction for threats, sensitive data, and policy violations — in real-time, before the prompt reaches the model.
How it works
When a user submits a prompt to ChatGPT, Copilot, or Claude, the prompt firewall intercepts the content and runs it through multiple detection engines: PII detection identifies personal data, injection detection catches adversarial prompts, document similarity prevents IP leakage. The policy engine evaluates results and applies enforcement: allow, mask, flag, or block.
Three detection engines
- Security engine — ML-based injection detection, jailbreak prevention, system prompt extraction defense. Catches adversarial prompts that manipulate model behavior.
- Privacy engine — NER-based entity detection for 30+ PII entity types (names, SSNs, addresses, credentials). Real-time masking replaces entities with tokens.
- Content engine — Semantic similarity against protected document corpora, toxicity classification, and policy compliance checks.
Deployment surfaces
PromptWall deploys as a proxy (for API traffic), browser extension (for ChatGPT, Claude, Gemini), editor plugin (for Copilot), and CLI tool (for developer workflows). All deployment surfaces share the same detection and policy engine.
Why it matters
Traditional security tools (WAF, DLP, CASB) were not designed for AI interactions. They cannot inspect prompt content, detect semantic attacks, or enforce AI-specific policies. The prompt firewall fills this critical gap — it's the purpose-built security layer for the AI era.
Deploy a prompt firewall
Inspect every AI interaction with PromptWall.
Frequently asked questions
Is a prompt firewall the same as a WAF?+
No. A WAF (Web Application Firewall) inspects HTTP traffic for web application attacks like SQL injection and XSS. A prompt firewall inspects the content of AI interactions — natural language prompts — for AI-specific threats like prompt injection, PII exposure, and policy violations. Different threat models, different inspection layers.
Does a prompt firewall slow down AI interactions?+
PromptWall adds less than 100ms of inspection latency, which is negligible compared to LLM inference times of 1-10 seconds. Detection engines run in parallel, and the policy engine evaluates rules in-memory for minimal overhead.
Can a prompt firewall work with any AI provider?+
Yes. PromptWall is provider-agnostic — it inspects prompt content before it reaches any provider. It works with OpenAI, Anthropic, Google, Azure, AWS Bedrock, and self-hosted models. The same detection and policy engine applies regardless of the downstream provider.