What SafePrompt Is — and Is Not

A clear-eyed guide to where SafePrompt fits in your stack, what it solves, and what it does not try to solve.

SafePrompt IS

A prompt injection detection API

SafePrompt sits between your users and your LLM. Before you send a prompt to OpenAI, Claude, or any other model, you send it to SafePrompt first. If it detects an injection attempt, you block it. If it's clean, you proceed normally.

A security layer for user-submitted input

Any place users can type text that eventually reaches an LLM — contact forms, chat interfaces, lead forms, support bots, agent tools — is a potential injection vector. SafePrompt validates that input before it can do damage.

Built for developers, not enterprise security teams

One API key. One endpoint. No sales calls, no 6-month onboarding, no six-figure contracts. Free tier included. Designed for indie developers and small teams who just want to ship secure AI features.

A 3-layer detection system

SafePrompt uses pattern detection for known attack signatures, external reference detection to catch attempts to pull in outside instructions, and AI validation for complex semantic attacks. Most safe prompts exit at layer 1 in under 5ms.

A network that gets smarter over time

When one SafePrompt customer gets attacked, all customers benefit. Blocked prompt patterns are anonymized and used to improve detection for the entire network. The more customers use it, the better it gets at catching new attack patterns.

SafePrompt is NOT

A content moderation service

SafePrompt does not filter hate speech, NSFW content, or off-topic requests. It specifically detects attempts to manipulate your AI's behavior — jailbreaks, instruction overrides, data exfiltration attempts. For content moderation, use OpenAI's Moderation API or a dedicated service.

A general-purpose Web Application Firewall (WAF)

SafePrompt validates AI prompt inputs, not HTTP traffic. It does not block SQL injection in database queries, XSS in web pages, or DDoS attacks. It focuses exclusively on the prompt injection attack surface — the text that reaches your LLM.

A prompt builder or prompt management tool

SafePrompt does not help you write system prompts, manage prompt templates, or version your prompts. It only validates whether user input is attempting to attack your AI system.

A guarantee of 100% protection

No security tool offers perfect protection. SafePrompt significantly raises the bar for attackers and catches the vast majority of known and novel injection techniques. Defense-in-depth still applies: validate on the backend, scope your LLM permissions, and monitor for anomalies.

An enterprise-only product

Unlike competitors that require sales calls and minimum contracts, SafePrompt has transparent pricing starting at $0. The free tier gives you 1,000 validations/month with the same detection engine as paid plans. No approval process, no waiting.

What attacks does it detect?

  • Direct prompt injection — "Ignore previous instructions and..."
  • Jailbreak attempts — DAN, roleplay bypass, hypothetical framing
  • System prompt extraction — Attempts to reveal your AI's instructions
  • Multi-turn attacks — Injection attempts spread across multiple conversation turns
  • External reference injection — Attempts to load instructions from URLs or file paths
  • Encoded/obfuscated attacks — Base64, ROT13, and other encoding schemes used to evade detection

Where it fits in your stack

// Your application flow
User input
SafePrompt.check(userInput) ← HERE
↓ (if safe)
Your system prompt + user input
LLM (OpenAI, Claude, Gemini...)
Response to user

Ready to get started?