PromptGuard is a production firewall for AI applications. It inspects every prompt and response in approximately 150 milliseconds to block prompt injection, data leaks, multi-turn attacks, jailbreaks, and PII redaction before the model generates an answer.
The system employs 14 detectors across six detection layers that include normalization, regex, machine learning ensemble, content safety, multi-turn drift analysis, and policy enforcement. It achieves 99.1 percent precision with near-zero false blocks and has been benchmarked on 2,369 adversarial samples. PromptGuard redacts more than 39 PII entity types on-device and fully covers all items in the OWASP LLM Top 10 list of vulnerabilities.
It is model-agnostic and works with every provider and framework already in use, including OpenAI, Anthropic, Gemini, Mistral, Meta Llama, AzureAI, Cohere, and Ollama. The platform is delivered as a guard API that can be deployed in production environments. A free tier provides 10,000 requests per month with no credit card required and a setup time of two minutes.
In the AI & LLM security space, PromptGuard takes a focused approach. It focuses on protecting AI applications from prompt injection, data leaks, and adversarial attacks in production environments. It is built as a B2B product for AI application developers. PromptGuard follows a freemium model. It ships for the command line, Windows, macOS, Linux, and API.
PromptGuard first shipped in 2024. Among its 10 catalogued features are prompt inspection, PII redaction, and multi-layer detection. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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